I have a IEEE paper that needs to be implemented.


In recent years, with the development of digital

image techniques and digital albums in the Internet, the use of

digital image retrieval process has increased dramatically. An

image retrieval system is a computer system for browsing,

searching and retrieving images from large databases of digital

images. In order to increase the accuracy of image retrieval, a

content-based image retrieval system(CBIR) based on interactive

genetic algorithm (IGA) is proposed. Color, texture and edge

have been the primitive low level image descriptors in content

based image retrieval systems. In this paper we proposed a

system that splits the retrieval process into two stages. In the

query stage, the feature descriptors of a query image were

extracted and then used to evaluate the similarity between the

query image and those images in the database. In the evolution

stage, the most relevant images were retrieved by using the IGA.

IGA is employed to help the users identify the images that are

most satisfied to the users’ need. The experimental evaluation of

the system is based on a 10000 WANG color image database.

Experimental results demonstrate the feasibility of the proposed


Skills: Matlab and Mathematica

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I will help you kindly. I am a master of mathematics and control engineering. I am interested in image processing. If you keep in touch with me, you'll get a good result in time. Thanks a lot!...................... More

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Hello I am interested in your [login to view URL] give me further details regarding the IEEE paper and time limits. See my previous reviews for further details. Regards

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I have worked in image processing, machine learning optimization including genetic algorithm. I can write the code for this work.

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