Image Segmentation |
Author(s): |
Disha Sahu , Acropolis Institute of Technology and Research, Indore; Hardik Goswami, Acropolis Institute of Technology and Research, Indore; Diksha Kharche, Acropolis Institute of Technology and Research, Indore; Prof. Vandana Kate, Acropolis Institute of Technology and Research, Indore |
Keywords: |
Image Segmentation, Clustering, Various Segmentation Algorithm |
Abstract |
Because of the development of Computer Technology Image Processing Technologies have become similarly significant nowadays for a wide variety of utilizations. Image Segmentation is a Great field of Image Processing or we can say Hotspot of Image Processing Techniques. Image Segmentation is an important component in many image analysis and computer vision tasks. It includes recognizing and processing the forefront of an image which can be valuable in image altering just as indifferent research-oriented fields. Basically Image Segmentation includes investigating the image and separating the information from it. Several algorithms and techniques are proposed for Image Segmentation, Classical Image Segmentation tools use either color, texture or edge information for carrying out the Segmentation process. Similarity and Discontinuity are the two mainstays of the Segmentation procedure. Image Segmentation is for all intents and purposes utilized in content-based image retrieval, object tracking in video recordings, clinical applications, and so on. This paper underscores on different methods accessible for Image Segmentation. |
Other Details |
Paper ID: IJSRDV8I30376 Published in: Volume : 8, Issue : 3 Publication Date: 01/06/2020 Page(s): 474-476 |
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