TEJAS Journal of Technologies and Humanitarian Science

A study on Segmentation Techniques

Abhay Kumar Yadav
Department of Computer Application, SRM University, Barabanki

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Abstract:

Segmentation is required to appropriately partition any picture into multiple tiny pieces, as well as to locate various image elements and extract relevant information. The digital image is segmented into numerous smaller segments (sets of pixels), each with its own set of opposing attributes such as texture, color, intensity, and a variety of other statistical properties. This work seeks to illustrate various typical pixel-based segmentation techniques used in image processing, such as thresholding, k-mean clustering, histogram, split & merge, and watershed transformation, as well as their benefits and drawbacks.

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