Survey on Various Image Segmentation Techniques
Abstract: Image segmentation is considered one of the most significant image processing techniques. The technique of splitting or partitioning an image into bits, called segments, is known as image segmentation. It's most effective for applications like image compression and object detection, since processing the whole image is wasteful in these cases.As a result, image segmentation is used to separate the image's components for further processing. Digital image processing techniques allow for computer-assisted editing of digital images. Pre-processing, enhancement and display, and content retrieval are the general processes that all forms of data must go through by using modern technology. In image processing, image segmentation is a critical stage. Image segmentation strategies such as Thresh-holding, Edge Detection, Colour dependent binary Image segmentation, and Biogeography Based Optimization are studied in this paper and their precision, sensitivity, and specificity are evaluated.
Keywords: Image segmentation, edge detection, fuzzy clustering, thresh-holding, and biogeography-based optimization are some of the techniques used
How to Cite?: Babita Chauhan, "Survey on Various Image Segmentation Techniques", Volume 10 Issue 5, May 2021, International Journal of Science and Research (IJSR), Pages: 948-951, https://www.ijsr.net/getabstract.php?paperid=SR21518202237, DOI: https://dx.doi.org/10.21275/SR21518202237