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Novel Approach for Color based Comic Image Segmentation for Extraction of Text using Modify Fuzzy Possiblistic C-Means Clustering Algorithm
IJCA Special Issue on Information Processing and Remote Computing
© 2012 by IJCA Journal
IPRC - Number 1
Year of Publication: 2012
M Praneesh and Jaya R Kumar. Article: Novel Approach for Color based Comic Image Segmentation for Extraction of Text using Modify Fuzzy Possiblistic C-Means Clustering Algorithm. IJCA Special Issue on Information Processing and Remote Computing IPRC(1):16-18, August 2012. Full text available. BibTeX
@article{key:article,
author = {M. Praneesh and R. Jaya Kumar},
title = {Article: Novel Approach for Color based Comic Image Segmentation for Extraction of Text using Modify Fuzzy Possiblistic C-Means Clustering Algorithm},
journal = {IJCA Special Issue on Information Processing and Remote Computing},
year = {2012},
volume = {IPRC},
number = {1},
pages = {16-18},
month = {August},
note = {Full text available}
}
Abstract
Segmentation in image processing refers to the process of partitioning a digital image into multiple segments. This paper makes an attempt to segment the Comic images for extraction the text. Segmentation of comic images into extract the text is a challenging task primarily because of complexity of the structural Features like color, shape and texture. In this paper we proposed a color based comic image segmentation for extraction of text using Modify Fuzzy Possiblistic C-Means Clustering Algorithm has been tested on different images and obtained better performance than many of the existing methods.
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