Image Segmentation Methods: A Survey Approach

Image Segmentation is one of basic problem and is an important step in image processing to distinguish important object that is of our interest from unnecessary background substrates. So, quality of this step also affects the subsequent steps of recognition. In this paper, we have compiled Edge detection method, Thresholding method, Region based method, and Clustering.

[1]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[3]  Linda G. Shapiro,et al.  Image Segmentation Techniques , 1984, Other Conferences.

[4]  S. Saraswathi,et al.  Survey on image segmentation via clustering , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).

[5]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .