*Image & Signal Processing Group, Electrical Engineering Department, Research Scholar, EED, Indian Institute of Technology Roorkee, Uttarakhand, India, Pin: 247 667
**Electrical Engineering Department Professor, EED, Indian Institute of Technology Roorkee, Uttarakhand, India
This Paper presents various edge detection methods and segmentation methods. All methods are applied on heart image. All methods and their results are evaluated through standard assessment parameters. Edge Detection Methods like Sobel, Prewitt, Robert, Log, Zero Crossing, and Canny are compared with Proposed Method of Marker based Watershed Segmentation Technique for color image segmentation. Various standard assessment parameters are PSNR, NCC, AD, SC, NAE, STD, COV, UIQI, CC, SSI and DSI. Result Tables and Graphs clearly shows that proposed method gives better results as compared to edge detection methods.
Edge Detection, Gradient, Image Segmentation, Watershed Transform, Marker based Watershed Segmentation Technique
