Superpixel Based Color Image Segmentation Techniques: A Review

نویسندگان

  • S. Ranjitham
  • K. Padmavathi
چکیده

The basic data unit of image representation, the pixel and encompassing features, form the key for the qualitative and quantitative output of any image processing step. The result of grouping pixels exhibiting similar features within local or global neighbourhood is termed as SUPERPIXEL. Computer vision research experts have conceptualised SUPERPIXEL for many decades and contributed number of superpixel based approaches to improve accuracy and reduce complexities in image processing techniques. The job of grouping pixels into super pixels by comparing the values of each and every neighbourhood pixel within specific connectivity, defining the boundary strength of superpixel, and the center of superpixel called as seed point are of important consideration. The following work introduces conceptual understanding of an image in terms of pixel, superpixel and its features. Further to this, explanation of various SUPERPIXEL grouping methods and superpixel based segmentation techniques that are of great interest to the image vision community are discussed. Keywords—Image Segmentation, Pixels, Superpixels, Superpixel Segmentation Methods

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تاریخ انتشار 2014