Generalized Euler Number and Related Features for Gray Level Image Characterization.

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 applications in areas like medical imaging, remote sensing, geological surveys etc. With the rapid growth in Internet and applications are on more demand than ever before. Images and applications built around them involve vast amount of data and therefore takes too much space and time, in other words image processing tasks are computationally expansive. At the same time most of the image processing applications demand real time response.High performance, special-purpose computer systems are typically used to meet specific application requirements or to off-load computations that are especially taxing to general- purpose computers. With the advancement in VLSI technology hardware cost and size continue to drop. On the other hand processing requirements are becoming well understood in areas such as signal and image processing. As a result systems on VLSI chips are becoming essential to accomplish image processing tasks.A number of computing features for binary images like Euler number, convex hull etc are present. There are also many fast algorithm present for their implementation. But unfortunately, there is no such measure for grey level images. In our real life, we are much more concerned with grey-level images. Many image processing applications requires recognition of grey level images. In this work I have tried to define few new computing features of grey-level images. I have also described both the parallel and sequential algorithm and their architectural issues.


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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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