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Archive for December, 2007

CBIR is about developing an image search engine, not only by using the text annotated to the image by an end user (as traditional image search engines), but also using the visual contents available into the images itselves.

Initially, CBIR system should has a database, containing several images to be searched. Then, it should derive the feature vectors of these images, and stores them into a data structure like on of the “Tree Data Structures” (these structures will improve searching efficiancy).

A CBIR system gets a query from user, whether an image or the specification of the desired image. Then, it searchs the whole database in order to find the most similar images to the input or desired image.

The main issues in improving CBIR systems are:

  1. Which features should be derived to describe the images better within database
  2. Which data structure should be used to store the feature vectors
  3. Which learning algorithms should be used in order to make the CBIR wiser
  4. How to participate the user’s feedback in order to improve the searching result

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My final thesis is about improving a CBIR system by menas of learning algorithms. So I will write about it in detail here.

I am currently working on these issues:

  1. Color and texture feature derivation
  2. Image blocking (related to the previous one)
  3. Color Indexing
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If you are an AI student or graduated, you’ve may passed the course called “Fuzzy Logic”; atherwise, you’ve may heard about it.

“Fuzzy Logic” is about decision making, using uncertain observations. But there is certainty about the measurement of this ambiguity! (Is it confusing? Don’t worry; this is one of million amazing descriptions of this newborn logic!)

Fuzzy Logic was introduced by Prof. Lotfali Asker Zadeh (known as Prof. Lotfi Zadeh) at Berkley, and continued by Prof. Mamdani. These professors are both Iranian. So it is said that Fuzzy Logic was started and ended by Iranians.

I found this web page, when I wanted to find some articles about fuzzy image processing. It is the Homepage of Fuzzy Image Processing belongs to University of Waterloo, which takes the highest rank in Google. It is nice to know that here is managed by Prof. Hamid R. Tizhoosh, who is an Iranian professor too! 🙂

So despite that I am not an extreme nationalist, but I can conclude that Iranians have conquered the top of Fuzzy Logic!

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Here is an abstract about Fuzzy Image Processing, to make us familiar with this issue:

Fuzzy image processing is the collection of all approaches that understand, represent and process the images, their segments and features as fuzzy sets. The representation and processing depend on the selected fuzzy technique and on the problem to be solved.
(From: Tizhoosh, Fuzzy Image Processing, Springer, 1997)

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