ANALYSIS OF RECENT SHAPE, TEXTURE AND COLOUR BASED IMAGE SEGMENTATION TECHNIQUES

Abstract

Image segmentation has an important role in image processing. It is a fundamental step which can be defined as isolating
homogeneous regions within an image or finding the boundaries between such regions. Image segmentation has been
approached from a wide variety of perspectives but still it is a challenging problem. Therefore, the subject of segmenting objects
of interest in images has gained even more attention. From the primary benefit of producing simple, informative input, object
segmentation is a foundational tool in various advanced systems such as object recognition, image retrieval, and image editing
and scene reconstruction. Due to its significant role, this crucial step has been of perennial interest to many researchers of
image processing and computer vision. This makes segmentation process less accurate and highly time-consuming when the
foreground and background are much nearby or when the foreground textures are occluded. To overcome these drawbacks, we
analyze some of the trending issues in shape, texture and color based image segmentation techniques.