Skeletonizing Binary Images Using Neural Networks.

Date of Submission

December 1992

Date of Award

Winter 12-12-1993

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer and Statistical Services Centre (CSSC)


Dutta, Amitabha (CSSS-Kolkata; ISI)

Abstract (Summary of the Work)

The project aims at developing an incremental neural network model which is able to learn a stick figure of a given image . Some of the ideas are similar to those in Growing Neural Gas model by Bernd Fritzke which learns the topologies of a data distribution P(C) . At first, it has been shown that a different criterion for growth of the network ( which we have called Vote Counting Method) has the same performance as Growing Neural Gas model. Then we have introduced a different approach to growth which learns a stick figure of a given image.


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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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