Efficient Computation of Invariant Moments for Gray-Level Images.

Date of Submission

December 2000

Date of Award

Winter 12-12-2001

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Advance Computing and Microelectronics Unit (ACMU-Kolkata)


Bhattacharya, Bhargab Bikram (ACMU-Kolkata; ISI)

Abstract (Summary of the Work)

The field of digital image processing is continually evolving. It finds massive application in areas like medical imaging, remote sensing, geological surveys, weather forecasting etc. With the rapid growth in Internet and multimedia technology , image processing applications are more in demand. Images not only require a large storage space ,they also demand a lot of real time to get processed.High performance, special purpose computer systems are typically used to meet these specific application requirements. With advancement in VLSI technology, cost as well as size of chips continue to fall. On the other hand image processing algorithms and their requirements continue to be better understood. The above phenomena resulted in the manufacture of special chips to perform the image processing tasks. This dramatically reduced the processing time.In this work we have tried to develop methods by which we can assign certain signature values to the images. These signature values are to be used as the parameter for Content Based Image Retrieval to retrieve similar images. Parallel algorithms for the methods used have also been provided. All the images used here are gray level images and the analysis has been done keeping this in mind.


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843068

Control Number


Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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