Open AccessAn Extensive Review on Image Segmentation Techniques
Author(s) -
Kushal Sharma,
AUTHOR_ID,
Nidhi Garg,
AUTHOR_ID
Publication year - 2021
Publication title -
indian journal of image processing and recognition (ijipr)
Language(s) - English
Resource type - Journals
ISSN - 2582-8037
DOI - 10.54105/ijipr.b1002.061221
Subject(s) - segmentation based object categorization , artificial intelligence , image segmentation , scale space segmentation , computer vision , minimum spanning tree based segmentation , image texture , computer science , range segmentation , region growing , image processing , segmentation , feature detection (computer vision) , digital image processing , pattern recognition (psychology) , image (mathematics)
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.