Segmentation is the process of dividing a digital image into number of parts of interest. The goal of segmentation is to rearrange and additionally change the representation of an image into something that is more significant and less demanding to study. The aftereffect of picture segmentation is an arrangement of areas that all things considered cover the whole picture, where every pixel in a region is comparative concerning some trademark or registered property, for example, color, intensity, or texture. This paper discusses and reviews the various segmentation techniques like Edge Based, Threshold, Region Based, Clustering and Watershed segmentation used in leaves analysis. This paper shows how different techniques of segmentation used in different application of image processing. Comparative analysis of different methods shown in table and concluded with advantages and disadvantages of segmentation techniques in plant leaf analysis. Edge based and Thresholding techniques are used usually with gray image of plant leaves and Region Based, Clustering and Watershed segmentation technique used with color image of leaves.

Image Segmentation, thresholding, clustering, Region Based, Clustering, Watershed segmentation, plant leaves

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