| Autor: |
Munot, Kinjal, Mehta, Nishi, Mishra, Sakshi, Chaturvedi, Ratnesh N. |
| Předmět: |
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| Zdroj: |
International Journal of Advanced Research in Computer Science; Nov/Dec2017, Vol. 8 Issue 9, p846-850, 5p |
| Abstrakt: |
Image Segmentation is an important part of Image Processing. The first step in Image Analysis and Pattern Recognition is Image Segmentation. The process of Image Segmentation refers to thepartition of an image into different regions to gain information about the objects in the image based on the homogeneity or discontinuity of certain characteristics like color, intensity or texture. The purpose of this paper is to provide an overview of various image segmentation methods and their implementation in different color spaces. Their relative efficiency, advantages, and the problems they encounter are discussed. In order to understand how these methods are used, someapplications like XRadiography, Foreground detection in MRI and Facial feature detection are explained. It is observed that no image segmentation technique and algorithm work well with all types of images but these techniques work well specific to certain applications. Hence, it is critical to decide which method is the most suitable for a particular application based on its efficiency in that domain. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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