A Exploratory Review on Soft Computing SegmentationTechniques

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4

Abstract

Abstract: Segmentation is a process to divides the images into its regions or objects that have similar featuresor characteristics. Segmentation has no single standard procedure and it is very difficult in non-trivial images.The extent, to which segmentation is carried out, depends on the problem specification. Segmentationalgorithms are based on two properties of intensity values- discontinuity and similarity. First property is topartition an image based on the abrupt changes in the intensity and the second is to partition the image intoregions that are similar according to a set of predefined criteria. In this paper some methods to detect thediscontinuity and similarity of digital images will be discussed. The basic techniques for detecting the gray leveldiscontinuities in a digital images and locating the objects and boundaries of images ( points, lines and edges)have also been discussed. The other segmentation techniques like histogram thresholding, filtration, watershed,edge detection, region growing, region splitting and merging are based on the f

Authors and Affiliations

Chandanpreet Kaur , Dr. Bikrampal Kaur

Keywords

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  • EP ID EP148316
  • DOI -
  • Views 124
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How To Cite

Chandanpreet Kaur, Dr. Bikrampal Kaur (2015).  A Exploratory Review on Soft Computing SegmentationTechniques. IOSR Journals (IOSR Journal of Computer Engineering), 17(4), 64-67. https://europub.co.uk/articles/-A-148316