An Extensive Review on Image Segmentation Techniques 
Kamlesh Sharma1, Nidhi Garg2
1Dr. Kamlesh Sharma, Associate Professor, Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India.
2Nidhi Garg, Assistant Professor, Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India.
Manuscript received on 27 February 2021 | Revised Manuscript received on 28 March 2021 | Manuscript Accepted on 15 June 2021 | Manuscript published on 30 June 2021 | PP: 1-5 | Volume-1 Issue-2, June 2021 | Retrieval Number: 100.1/ijipr.B1002041221 | DOI: 10.54105/ijipr.B1002.061221
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image processing is the use of algorithms to perform various operations on digital images. The techniques that are explained further are image segmentation and image enhancement. Image Segmentation is a method to partition an image into multiple segments, to change the presentation of an image into something more meaningful and easier to analyze. The current image segmentation techniques include region-based segmentation and edge detection segmentation. Image Enhancement is the process of improving the quality of image. Under this section there are two broad divisions- Spatial Domain Technique and Frequency Domain Technique.
Keywords: Image Enhancement, Segmentation, Image Processing, thresholding, Region Based, Spatial Domain
Scope of the Article: Image Processing