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A Detailed Analysis on Image Segmentation and its Open Issues


Affiliations
1 Lakshmi Narayan College of Technology, Bhopal, MP, India
2 Computer Science Department in Lakshmi Narayan College of Technology, Bhopal, MP, India
     

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Image segmentation is vital step in the process of image processing, which is at the middle layer of image engineering. An outline of the development of image segmentation in the recent years is analyzed. This paper gives a deeper analysis of the topic along with the various techniques being worked out in the recent years. Several thousands of segmentation algorithms have been designed and applied for various applications, and this number has increased steadily making it quite hard to work out a comprehensive survey and a suitable classification scheme for hierarchical categorizing the whole techniques. Each method has its own advantages and disadvantages to be use in different problem areas. Accuracy, complexity, efficiency and interactivity of a segmentation method should all be the considered factors. The domain of image segmentation is still immature. Many unsettled problems need to be defined and solved in this area. It is firmly believed that this domain will greatly advance in the future. This evaluation may prove to be an essential step for the development and improvement of new techniques in this area.

Keywords

Segmentation, Image Processing, Clustering, Region Based, Threshold Based, Watershed.
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  • A Detailed Analysis on Image Segmentation and its Open Issues

Abstract Views: 436  |  PDF Views: 4

Authors

Farheen K. Siddiqui
Lakshmi Narayan College of Technology, Bhopal, MP, India
Vineet Richhariya
Computer Science Department in Lakshmi Narayan College of Technology, Bhopal, MP, India

Abstract


Image segmentation is vital step in the process of image processing, which is at the middle layer of image engineering. An outline of the development of image segmentation in the recent years is analyzed. This paper gives a deeper analysis of the topic along with the various techniques being worked out in the recent years. Several thousands of segmentation algorithms have been designed and applied for various applications, and this number has increased steadily making it quite hard to work out a comprehensive survey and a suitable classification scheme for hierarchical categorizing the whole techniques. Each method has its own advantages and disadvantages to be use in different problem areas. Accuracy, complexity, efficiency and interactivity of a segmentation method should all be the considered factors. The domain of image segmentation is still immature. Many unsettled problems need to be defined and solved in this area. It is firmly believed that this domain will greatly advance in the future. This evaluation may prove to be an essential step for the development and improvement of new techniques in this area.

Keywords


Segmentation, Image Processing, Clustering, Region Based, Threshold Based, Watershed.