• Jaya Krishna Sunkara
• E Sasikala
• V. V. Satyanarayana Tallapragada
• N Dhanalakshmi

This paper surveys current trends/techniques in image segmentation. The major themes covered by the paper include: segmentation based on template matching, segmentation based upon Haar wavelet based feature vectors, learning of object templates via examples, segmentation by background modeling, Hidden Markov modeling of images, and reformulation of the segmentation problem as a Bayesian classification problem. The relationship between segmentation techniques and the amount of domain knowledge available is discussed.

Background Modelling, Markov Modelling, Segmentation, Template Matching

"An Investigation of Image Segmentation Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.268-277, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805792.pdf

"An Investigation of Image Segmentation Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp268-277, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805792.pdf