A brief review: Super-pixel based image segmentation methods

International Journal of Research and Engineering

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Title A brief review: Super-pixel based image segmentation methods
Creator Mehra, Jyotsana
Neeru, Nirvair
Subject Super-pixels, Segmentation, FCM,DWT, GLCM
Description In this paper image segmentation techniques have been explored which uses super pixel as intermediate step along with fuzzy clustering methods. Superpixel segmentation is the process of partitioning an image into multiple segments called superpixels, which are homogeneous as in pixels inside every portion are comparable concerning certain attributes, for example, shading and surface. In spite of the fact that superpixelsegmentation as a rule yields over-sectioned results instead of item level fragments, it radically diminishes the quantity of picture primitives with insignificant loss of data and offers a simple approach to separate the probably picture objects with as few portions as could be expected under the circumstances. Likewise, since superpixelsegmentation gives a more characteristic and perceptually significant representation of the info picture, it is more helpful and powerful to concentrate area based visual elements utilizing superpixels. In order to get better segmentation the FCM use the GLCM features of turbo pixels instead of intensity values of pixels and hence help in decision making to put a particular turbo-pixel  into different fcm clusters. In the proposed work, we will explore these techniques in order to get better segmentation of different sections of the input images.
Publisher IJRE Publisher
Date 2017-09-01
Type info:eu-repo/semantics/article
Peer-reviewed Article
Identifier https://digital.ijre.org/index.php/int_j_res_eng/article/view/182
Source International Journal of Research and Engineering; Vol 4 No 7 (2017): July 2017 Edition; 200-205
Language en
Rights Copyright (c) 2016 International Journal of Research and Engineering (IJRE)

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