Authors

1. Ms. Navjeet Kaur

Affiliation

• Lecturer Amity Institute of Information Technology, Amity University, Rajasthan

Abstract

An image is a spatial representation of a two-dimensional or three-dimensional scene. Segmentation of an image is the process that subdivides an image into its constituent regions or objects. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects. There are now a wide variety of image segmentation techniques, some considered general purpose and some designed for specific classes of images. Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain. This paper provides a survey of achievements, problems being encountered, and the open issues in the research area of image segmentation and usage of the techniques in different areas. We consider the techniques under the following two groups: Low level image segmentation techniques and high level image segmentation techniques.

Keywords

Image segmentation, edge detection, , Threshold, , Gradient, , Parametric models, Free-form models.

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