A New Approach of Adaptive Edge Detection Based on GAP Predictor
Edge is one of the most fundamental features. Edge detection is an important method to extract the images characteristics. Firstly gradient adjusted predictor was used to predict the image, and then aimed at the gained error image, a new adapted approach to selected threshold based on gradient mean-value histogram was proposed, and classified edge and non-edge by the gained threshold; to obtain single pixel edges, the gained edge image was far thinned by the thinning algorithm, and the last edge image was achieved. Simulation results show that have fine and continued edge characteristic, higher precision of localization by using the proposed method compared with other methods. The experimental results are more satisfactory.
Edge detection Gradient Adjusted Predictor Threshold Thinning
Wang Kun Gao Liqun
Aerontatical Automation College, Civil Aviation University of China, Tianjin 300300, China School of Information Science & Engineering, Northeastern University, Shenyang 110004, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
657-660
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）