Agent Searching Edge Detection Algorithm for Bone Images

Abstract:

Bone image segmentation is the important technology for computer aided bone diagnosis system and the foundation for three-dimensional visualization of the human skeleton. Agent searching edge detection algorithm for bone images is proposed. Based on neighbor region correlation and regional harmonic mean feature vector correlation, different species of agent accomplish searching bone edge and experimental results are satisfactory. Experimental results comparison about the proposed algorithm, Prewitt, Sobel, Log and Canny is illustrated that demonstrates the proposed algorithm has advantages in some respects.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 6453-6456
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.6453
• Online since: January 2012
• Authors: Hong Guang Zhang, Yuan’ An Liu, Bi Hua Tang, Zhi Peng Jia, Yan Qin
• Keywords: Agent, Bone Images, Edge Detection, Region Similarity, Searching Strategy

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