and i took 3 courses ( Calculus2, Netural Network and Digital Image Processing)

our D.r Ashraf Ahmad waz so gernours with the information he gave us.

its a complex world with complex theroy with so much of mathmteical equation to use to get the best value :)

About almost all of our lecture was about the CODEC  which refrence for coding decodieng

i'll try to describe it in short

Coding :

1. Blocker ( divide the image to 8*8 or 16*16 block )
2. DCT ( discret cosin transform , which ill describe it later in another post)
3. Qunatanizer ( simple one is take  from 0 to 5  and make it 0 ,from 5 to 10 make it 1 and so on until we rich 51 which will stand for byte , also its a lossy comperission)
4. Zig-Zag Scan ( which stand for dianlog scan and converting the 2D array to one diminsion array , [ DC element, 1 ,2 ...... , n] )
5. Channel Coding ( here we use any comperssion teqhniuqs like Huffman or LZW )

Solusi GIS, Melayani pembuatan peta untuk berbagai tema (Thematic Map), melayani olah citra digital (Digital Image Processing) seperti olah citra IKONOS, Quickbird, Landsat, dll serta melayani pembuatan peta online / peta interaktif.

1. PEMBUATAN PETA DIGITAL (DIGITAL MAP)
Melayani pembuatan peta untuk berbagai tema (Thematic Map) berbasis GIS.

Contoh Output 1 :

Contoh Output 2 :

2. PEMBUATAN PETA INTERAKTIF DAN WEB GIS

Contoh Output :

3. PENGOLAHAN CITRA DIGITAL (IMAGE PROCESSING)

Contoh Output :

Kontak Kami :

Didik

0813 2878 1680

Today you can already virtually test-drive your new Beemer or buy a pair of sport shoes (virtual and real) in Second Life. Maybe tomorrow you will be able to visit a trade show there. The products will be shown in 3D animation, including all the technical specs and the pricing that applies to your company. The salesperson has enough time for all your questions and enough expertise to answer them as well. There is no need to walk endless halls to get to the couple of vendors you want to see, there is also no need for stale coffee and standardized trade show cookies to get you through the day. In minimal time you are perfectly informed about the new products of your vendors, about some interesting new players on the market and you chatted amicably with your favourite suppliers as well as with a couple of business partners also visiting the show. - That is your avatar chatted with their avatar, which is even better since you did not shave this morning.

Nice scenario, very effective, very cost saving for your company, might be even healthy for yourself, compared.

For the vendor: even better. Just imagine being able to be present at virtually all interesting trade shows worldwide, without the hassle of shipping material and people all over the world, building costly booths and getting your equipment running without electricity in – say – Mumbai. Your products are represented always in the new version, information updated immediately, your sales force reaches spectacular peaks of efficiency and after you had issued the companywide rules of conduct for your employees in the Internet, your CI is transported flawlessly.

It is remarkable anyway how much, in general, the avatar today resembles the actual person as opposed to being some sort of fantasy superhuman. Admittedly, there might be a tad fuller hair or a wee bit less tummy, but all in all there is a tendency to design the electronic image as a match for the physical appearance of its owner. This shows that the virtual reality is on a clear path to being used as a means of transportation more than as a fantasy game place. Still short of “Beam me up, Scotty”, there is no faster way to travel than the Internet. Maybe Second Life in its form today is not yet the pinnacle of an electronic market place ready for capital goods, but the need is clearly there. This is also very visible with the increasing popularity of Internet business networks (did you know that there is an INSPECT community at http://network.inspect-online.com/ ?).

So are we already on the verge of a new way to do business or is the physical personal contact irreplaceable in the foreseeable future ?

Gabriele Jansen

Da istitutomajorana.it
22 Video Guide del Prof. Ing. Antonio Cantaro

Da dorianorossi.com
Gimp al posto di photoshop
Raccolta di videoguide su youtube in italiano e tutorial.

Sempre da istitutomajorana.it vi segnalo anche
F-spot - Gestore di Fotografie cinque Video Guide del Prof. Ing. Antonio Cantaro
programma per gnu/linux che permette l'archiviazione di immagini e piccole elaborazioni grafiche su di esse per tutti quelli per cui "gimp è troppo".

Che dire di scuole come l'istituto Majorana ed i suoi docenti?

Votantonio Votantonio Votantonio Votantonio Votantonio Votantonio Votantonio Votantonio Votantonio Votantonio ...

:D

An IEEE video in which Neuroscientist Paul Sajda, of Columbia University, uses the human vision system for computerized image sorting.

Outsourcing Data Entry Services India, we are confident of keeping complete confidentiality of your data and documents and our data-entry experts work with utmost accuracy.

Outsourcing Data entry company provide data entry services for all kinds of textual data capturing from printed matter, manuscripts, scanned images, web research, on-line data entry, offline data entry etc. We always start with a service plan for your specific data entry projects and form logical processing requirements. Our approach to data entry is unique and the technologies we use enable us to deliver the highest levels of data quality, accuracy, and fast turnaround time.

Why Outsource Data Entry to Yantram??

::> Virtually eliminate unnecessary paper from your offices
::> Cost Effective & Competitive Pricing
::> Best Quality Assurance Procedure
::> Long Lasting Client Relationships
::> Dramatically reduce expensive document storage costs
::> Capabilities of extremely fast turnarounds
::> Combination of skill sets easily available
::>Access your data from anywhere in the world via the Internet

Benefits of Outsourcing Data Management Services to Yantram

Assurance of Quality Checking

Each and every data entry project we undertake undergoes strict quality control procedures. We follow 100% key verification method to ensure accuracy of final output. The finished work is validated for quality by the QC department before being delivered to the clients.

Save money

Our Data Entry Pricing will save you more than 60% of the cost of conducting your data management project onshore. Another significant advantage of outsourcing data processing work lies in space utilization, especially in places with high real estate value. Data entry and data processing functions usually require a large workforce, which takes up substantial space in your office premises. Outsourcing such functions frees up this precious space that could be used for other core business functions

Time savings with trained workforce

With our trained and sizeable workforce, we are able to complete large volumes of work in the least amount of time, without any compromise on quality. You will save a huge amount of time by outsourcing your data entry and data processing work to us. This time can be utilized for other more critical revenue-generating processes, thereby increasing the profitability of your company.

Stringent quality control processes

To ensure high quality standards, we follow structured quality control processes that run through every stage of the data and document management projects.

NDA for security of your data

We follow strict security policy in our organization, so that there is no loss of your critical data. We sign a Non Disclosure Agreement (NDA) to address your security concerns. Our staff also maintains total confidentiality.

Other Data Entry Benefits

- We can operate our operation here 24 hours x 365 days.
- We are working on Saturday and Sunday also.
- We can work on national holidays also.

This blog is created to help my students to better understand the past, present and future of image processing. This field has evolved so rapidly in the past decades that it is now at the intersection of many scientific and engineering fields. I will start from a basic question: why do we care about image processing in the first place?

A short answer to this question is: it improves our life quality. One can easily give a long list of real-world products which are related to image processing: from acquisition (digital cameras) and manipulation (Photoshop) to communication (Skype) and retrieval (Google Image). The advance of sensing, communication and computing technologies have enabled us to see far (e.g., watch Summer Olympics in Beijing), see small (e.g., microscopic structures such as neurons and cells), see through (e.g., ultrasound inspection of pregnant women) and see better (e.g., in the darkness or adversary environmental conditions).

A more fundamental argument can be obtained from a scientific perspective. Understanding human intelligence has been the grand challenge at the center of the science - a good non-technical review can be found in IEEE spectrum (http://www.spectrum.ieee.org/singularity). Considering >70% information processed by human brain is visual, it is conceived that understanding human vision is the first step towards understanding human intelligence. You can go through the wonderful book written by Nobel Laureate David Hubel "Eye, Brain and vision" (available at http://hubel.med.harvard.edu/). Even though the hey days of neural networks have passed, a better understanding of how neural system processes visual information could bring fresh insights into image processing and vice versa.

To summarize, image processing is not just an isolated engineering field (traditionally under the category of signal processing in the discipline of EE); it can reach out to many other fields such as biomedical engineering and computational neuroscience.  If you are considering a career in the field of image processing (in fact it applies to any other field too), a good understanding the relationship of the field to others is highly useful. Now here are several "easy" take-home exercises:

1) Suppose you have invented a new algorithm that can dramatically improve the visual quality of ultrasound images, which conference do you think will be a suitable venue? And how do you expect the impact of your work (in other words, how do you know if this is a hot topic or not)?

2) Suppose you are a student with math (or more specifically, statistical) background but decide to pursue a PhD in the area of image processing (in order to get a higher salary when you graduate, you might think), how would you position yourself in this new area? What are your strength or weakness? How would you prepare yourself?

3) Suppose you are a student in the area of wireless communication or networking. But suddenly you find the job market in your own area is not as good as it used to be. And you do have some interest in images - how would you adapt your research direction to gain a competing edge?

[wpvideo KRVdSk23]

Camera Raw processing is powerful. Especially if with Photoshop CS3 you can edit even jpgs in raw mode! Take a look at how easy it is, and you will be hooked forever. You will love this feature, it will save a lot of time and give you great results.

[wpvideo w6HJZT9W]

Adjusting image levels is one of my favorite post-processing adjustments. It's so easy a caveman can do it!

I am currently trying to answer this question:In the event of two or more bicycles passing side-by-side, if the contour embraces the bicycles collectively, what sort of feature matching and description can I possibly provide so as to count them correctly. If you are reading this please feel free to leave comments.

I doubt there's a book on Digital Image Processing that does not contain this image. The Lena photo can be found on countless scientific papers. Numerous algorithms have been tested using her photo. Lena is definitely a celebrity in the Image Processing community.

But... who is mysterious Lena after all?!?

She's Lena Söderberg (b. 1951), a Swedish model who is also known by her maiden name Lena Sjööblom / Lenna Sjööblom. She appeared in the centerfold of the November 1972 issue of the Playboy magazine.

In mid-1973, engineers at the Signal & Image Processing Institute were searching for good test images. Someone found a copy of the November 1972 issue of the Playboy magazine, and the engineers scanned the centerfold photo of Lena. Over the past decades, the Lena image has been the de facto standard for testing Image Processing algorithms. The mysterious Lena is considered the "First Lady of the Internet", and an "Information Age Madonna". Apart from Mona Lisa, no image has been studied harder.

In 1988, Lena Söderberg was pleasantly amused to find out what had happened to her picture. In 1997, she was a guest at the 50th annual Conference of the Society for Imaging Science and Technology, where she was busy signing autographs, posing for pictures, and giving a presentation about herself. She commented to the Wired reporter:

They must be so tired of me... looking at the same picture for all these years!

Lena, I honestly doubt there's an engineer who ever gets tired of looking at your centerfold photo.

-/-

More info on Lena:

• Culture, Communication, and an Information Age Madonna (IEEE PCS newsletter - May/June 2001)

• original, uncompressed image of Lena (TIFF - 768 KB)

• the full Lena centerfold photo (Warning: contains nudity)

• The Lenna Story

• The Lena story

• A Complete Story of Lenna

• Imaging Experts Meet Lenna in Person

• Playmate meets geeks who made her a net star

• The "Lena image" comes to life

• The Search for Lena

• A Note on Lena

• Sonnet for Lena

 The screenshot above is my latest little project, a windows based tool for the decomposition of image using my fast pulse transform (FPT) technique. It needed to have a few features like file IO, pulse selections and highlighting of pulses. I've never done any sort of c++ winapi programming before apart from some windows forms stuff in c#. I figured since i'm busy messing around with win32 in my openGL and directX adventures, i might as well just use that. :/

Probably not the smartest decision, since the bare win api is c based and not c++ based and so the way the api is structured is based on c techniques. I'll be honest and it took me a day or two to get used to it and to figure out how most things occurs and now i've pretty much got the gist of it. Now it comes down to using the msdn docs to find out what the flag values i need are, and trying to figure out when specific messages are sent. I've got a very basic grasp of it at the moment. I wish i could spend more time messing around with it but i need to focus on this semester and finish learning directx 10. And even so once that is done, i think i'm gonna focus on learning MFC or windows forms even as it seems the bulk of development is done using these APIs. From what i can see most window game dev toolsets are developed in MFC.

So some last words about my app... i couldn't for the life of me figure out how the fuck DIBs and HBITMAPS work (creating DIBs programmatically at least - the conversion from DIB to HBITMAP was simple enough) so i had to use openGL to display my 2D images (haha, oh well its not like people don't have openGL videos cards these days). I just got the pulse selection and reconstruction saving working, just need to finish the highlighting section and its done (for now). I need to sit and think logically about what i want for the highlighting interface and then code it.

I have struggled these last few days trying to learn winapi programming from scratch using nothing more than google and the MSDN docs but at the same time I've learnt a lot and so its been worth it! OH and for a development environment: visual studio 2008 + vista 64 is a dream come true :P

Most of the programs below are open source. I have also included some DOS programs that can be used via dosbox simulation.

Xephem is an ephemeris and planetarium, astronomy software which is a bit difficult to use at the beginning but it becomes a necessity afterwards. Many features icluding a really huge catalogue of stars, deep sky objects and data from AAVSO, SOHO. You can use (after conversion) the tycho2 and hipparchos catalogues, connect it to Guide Star Catalog (with 998,402,801 objects) or view a sky view using Digitized Sky Survey. Eehh not enough words....

Predict rocks my socks.. Its a satellite tracking and orbital prediction program. Very useful for any kind of satellite tracking you wanna do. Just grab a small scope and on to the roof.

SkyChart / Cartes du Ciel. No introductions needed. An astronomy software that is used by many, even though its still in beta (for linux) its very usable and with the addition of extra images and catalogues it can be your celestial encyclopedia.

Stellarium. A very good planetarium program that is used by many amateur astronomers and even in commercial planetarium projectors for educational porpuses. Many claim that its strictly newbie application, but i really believe that thats rubbish. With a default catalogue of over 600.000 stars, scripting, realistic atmosphere, additional catalogues of over 200.000.000 stars, nebulae,etc i dont think that its newbie..

Partiview is not exactly an astronomy only related project. Its an interactive, stereoscopic and 3d viewer. Its pretty fast and has a ton of uses. One of the most famous is Digital Universe. Take some time and check the "Uses of Partiview" section in the main site, believe me, you will be surprised by the uses in astrophysics, global networks or even machine learning.

Just Moon An experimental but highly usable lunar atlas similar to Virtual moon atlas. Very nice and simple program. I hope for some updates in the future.
(Note: if you still want to use Virtual Moon atlas go for the light version (3.5c) with wine)

PP3. Latex finds astronomy. One of the best celestial charts generator with very high graphical quality and uses latex. According to the author, PP3 is used for the maps of all constellations on Wikipedia. A small example is here. Even though the syntax that you may use to generate charts is not latex code its very simple and really fast to learn.

Siril is an image processing linux software (IRIS clone) that is used
by many astrophotographers. Even though you can still use gimp for that, Siril just makes life easier by using the features that we need most.

Skycalc is a small console calculator made for many quantities that observational astronomers need. Its very practical and light.

Newt is a newtonian telescope design program. Many atms(if not all) use it for their projects for its rich features and high data accuracy. You can use it to check for vignetting, optimizations of the diagonal size, calculations of the baffle size and a lot more. I use it with wine and never had a single glitch. 2 thumps up!

If you dont use a computer a lot with your observations be sure to have a calculator with you all the time. Saved me countless times.

If you require more, you may check my links, but i think that most of the above fulfill most of your base needs.
Of course if you cant find nothing that matches your criteria, you may write something on your own and share it with others :) . A good example is scripting in any language or engine such as GnuOctave, Scilab and Matlab.

Qualche trucchetto per compilarla in /opt/gimp-2.5
completa delle librerie di supporto per non interferire con il sistema come raccomandato
in http://gimp.org/release-notes/gimp-2.5.html

Scaricate il necessario da svn o uno snapshot:

1 - babl: http://gegl.org/babl/

ftp://ftp.gtk.org/pub/babl/ babl-0.0.22.tar.bz2 o successivi
oppure

svn co http://svn.gnome.org/svn/babl/trunk/ babl

nella cartella scaricata o scompattata babl date un bel

./configure --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe -march=core2"

nel caso di babl-0.0.22.tar.bz2 oppure

./autogen.sh --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe -march=core2"

per l'svn

*nota
CFLAGS="-g -O2 -pipe -march=core2" è optionale serve a compilare per il tipo di cpu in uso nel caso una core2.
Se non sapete come funziona o non si genera il makefile, eliminatela qui come più avantie usate solo:

./configure --prefix=/opt/gimp-2.5

Con alcuni compilatori invece non funziona la CFLAGS -march=tipo_di_cpu, provate:

./configure --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe"

Se i configure/autogen si fermano perchè mancano delle dipendenze, installatele e ripetete.

Poi se avete un dual core date

make -j3

oppure make -j2 se single core, o make -j5 se quad core (anche nelle successive)

terminata la compilazione

sudo make install

2 - gegl: http://gegl.org/

ftp://ftp.gimp.org/pub/gegl/ gegl-0.0.18.tar.bz2 o successivi
oppure

svn co http://svn.gnome.org/svn/gegl/trunk/ gegl

nella cartella scaricata o scompattata gegl nel terminale che compilerà:

export PATH=/opt/gimp-2.5/bin:$PATH
export LD_LIBRARY_PATH=/opt/gimp-2.5/lib
export PKG_CONFIG_PATH=/opt/gimp-2.5/lib/pkgconfig

poi nello stesso terminale:

./configure --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe -march=core2"

nel caso di babl-0.0.22.tar.bz2 oppure

./autogen.sh --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe -march=core2"

per l'svn

poi date

make -j3

se non avete un ffmpeg ultimissima versione tutto compilerà normalmente,
io su gentoo ho ffmpeg 0.4.9_p20080326 che porta a questo errore:

ff-load.c:30:29: error: ffmpeg/avformat.h: No such file or directory
mc@gentoobox ~ $ locate avformat.h
/usr/include/libavformat/avformat.h

perchè il file ffmpeg/avformat.h nelle versioni recenti si trova in libavformat/avformat.h
Apriamo con un editor di testi il file nei sorgenti gegl/operations/external/ff-load.c
e cambiamo la riga:

e ripetiamo

make -j3

se tutto compila come dovrebbe

sudo make install

3 - gimp

Scaricate uno snapshot:

ftp://ftp.gimp.org/pub/gimp/v2.5/ gimp-2.5.2.tar.bz2 o successivi

nella cartella scompattata gimp-2.5.x nel terminale che compilerà:

export PATH=/opt/gimp-2.5/bin:$PATH
export LD_LIBRARY_PATH=/opt/gimp-2.5/lib
export PKG_CONFIG_PATH=/opt/gimp-2.5/lib/pkgconfig

poi nello stesso terminale:

./configure --prefix=/opt/gimp-2.5 CFLAGS="-g -O2 -pipe -march=core2"

poi

make -j3

ed infine

sudo make install

ed avremo gimp-2.5 installato in /opt/gimp-2.5 completo delle librerie necessarie.

A questo punto creiamo il wrapper come raccomandato

sudo gedit /usr/local/bin/gimp-2.5

ed inserite

#!/bin/sh
PATH=/opt/gimp-2.5/bin:$PATH
export PATH
LD_LIBRARY_PATH=/opt/gimp-2.5/lib
export LD_LIBRARY_PATH
/opt/gimp-2.5/bin/gimp-2.5 "$@"
# -------------------------------

salvatelo rendiamolo eseguibile con

sudo chmod 755 /usr/local/bin/gimp-2.5

Ora dando il comando gimp-2.5 si apre gimp-2.5.2.
Da nautilus tasto destro su un file immagine -> apri con -> apri con altra applicazione -> usare un comando personalizzato -> scrivere gimp-2.5
e sarà poi disponibile per quella estensione anche gimp-2.5.

Tutto viene installato in /opt/gimp-2.5 per rimuoverlo è sufficiente eliminare la cartella, poi cancellare il “wrapper”.

sudo rm -r /opt/gimp-2.5
sudo rm /usr/local/bin/gimp-2.5

Compilato regolarmente su Gentoo ~x86, Debian Sid, Ubuntu 8.04 a64.

Su Debian Sid gegl e babl sono disponibili quindi volendo potete installare

sudo apt-get install libgegl-0.0-0 libgegl-0.0-dev

e andate al punto 3 - gimp e senza dare i 3 comandi export, date direttamente il

./autogen.sh --prefix=/opt/gimp-2.5

poi proseguite.

- Gimp svn

Per scaricare/compilare la versione svn di gimp

svn co svn://svn.gnome.org/svn/gimp/trunk gimp

e poi usate ./autogen.sh --eccetera invece di ./configure.

Per aggiornare una cartella svn locale

svn up

nella cartella.

Per vedere gli aggiornamenti http://svn.gnome.org/viewvc/gimp/

Potete fare un backup di /opt/gimp-2.5 prima di compilare installare un nuova versione con

tar -cf - /opt/gimp-2.5 | gzip -c > ~/backup_opt-gimp-2.5_$(date +%F_%H_%M).tar.gz

28 Mar '05 - 22:32 by Cahit Güngör

As mentioned before the motion detection algorithm runs over 18 seconds on j2me platform only to compare two images. It is not a reasonable time if an application is to be run real-time. It is urgent decision to be made to leave or to stay on development. If this time interval can not be pulled down, the project will be senseless. So the motion detection algorithm is taken under focus to refine it. At last we have done it. Now it is running under 100 ms which is a reasonable time to detect motion when compared with 18 seconds. This an obviously great achievement. :)

What is done?
Float class is discarded and the difference is calculated more simple way instead of square root.
int array of RGB data is used instead of byte array RGB data which saves lots of converting time.
The most considerable difference is made when only one color from RGB data is used instead of 3 colors.

The following question if the motion detection algorithm work in this trimmed form.