Image Segmentation using Discontinuity-Based Approach

  • Kumar R
  • Arthanari M
  • Sivakumar M
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Abstract

Image segmentation is the process by which we segment a given image into several parts so that we can further analyzed each of these parts present in the image. We can extract some information by analyzing them and this information is useful for high-level machine vision application. There are numerous techniques of image segmentation available in literature. In this paper, we will analyze the discontinuity-based approach for image segmentation. The discontinuity-based segmentation can be classified into three approaches: point detection, line detection, and edge detection. In this paper, we will implement and analyses the result of these various approaches in MATLAB using Image Processing Toolbox (IPT). We will also implement the different edge operators such as Prewitt, Roberts, LoG, Canny and the results of these operators will be shown on various images.

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Kumar, R., Arthanari, M., & Sivakumar, M. (2012). Image Segmentation using Discontinuity-Based Approach. International Journal of Multimedia and Image Processing, 2(1/2), 72–78. https://doi.org/10.20533/ijmip.2042.4647.2012.0009

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