Paper Title:
Interactive Image Segmentation and Edge Detection of Medical Images
Author Name:
Sameena Banu, Apparao Giduturi, Syed Abdul Sattar
Abstract:
In computer vision and object recognition, effective and efficient image segmentation is an important task. This paper presents an Interactive Segmentation of Medical Images. Since fully automatic image segmentation is usually very hard for natural and medical images, interactive schemes with a few simple user inputs are good solutions. The users only need to roughly indicate the location and region of the object and background by using strokes, which are called markers. For Interactive Segmentation, maximal similarity based region merging algorithm is used. Secondly, an auto adaptive Edge-Detection algorithm is used to detect the edges. Compare to other edge detection algorithm (Sobel, Prewitt, Canny, Laplacian), an autoadaptive is efficient and robust.
Keywords:
Image segmentation, Region merging, Maximal Similarity, Edge Detection.
Cite this article:
Sameena Banu, Apparao Giduturi, Syed Abdul Sattar.Interactive Image Segmentation and Edge Detection of Medical Images. International Journal of Advanced Computer Research. 2013;3(13):211-215.