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A new framework in solving tailing and necking problems of thinned binary image

Abu Bakar, Sabarina and Yuhaniz, Siti Sophiayati and Abd. Majid, Hairudin and Haron, Habibollah (2012) A new framework in solving tailing and necking problems of thinned binary image. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 62 LNI . pp. 139-142. ISSN 1867-8211

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Abstract

A framework for solving tailing and necking problem in thinned binary image (TBI) is proposed. Tailing and necking are some of the classical problems occurred in thinned binary image. Artificial Neural Network (ANN) approach has been selected to be implemented in this study for obtaining a better thinned binary image. The identified TBI with tailing and necking problem are represented in a n x n dimensions of matrix and will be undergo a training of different set of neural network models that have been develop by using multiple layer perceptron and back propagation algorithm with different numbers of hidden layers. The experimental works show promising results.

Item Type:Article
Uncontrolled Keywords:computer science
Subjects:Q Science > QA Mathematics
Divisions:Computer Science and Information System
ID Code:46496
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 05:55
Last Modified:12 Sep 2017 04:12

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