An Automatical Algorithm based on Local Image Properties
This study introduces the definition of local image properties.Using so-called local rules one can describe recognitions of interesting foreground object characteristics in images.We propose a novel algorithm to automatically detect interesting object characteristics in the images with local image properties,including the detections of edges or corners of objects in images.As applications,firstly,we compare the detection results of edges for objects in four images by our algorithm with the Roberts operator;Sobel operator,Prewitt operator;Log operator;Canny operator and cellular-neural-network-based algorithm (CNNBA).Secondly,we compare the detection results of corners for objects in three images by our algorithm with Harris operator;Shi-Tomasi operator and CNNBA.The experimental results have demonstrated that the proposed algorithm is able to detect correctly the all edges or corners of the objects in corresponding images,and has superior performance when compared with the other methods.
edge detection corner detection automatical algorithm local threshold local gray scale difference
Min Li Lequan Min Gerhard Litscher
School of Mathematics and Physics University of Science and Technology Beijing Beijing,100083,PR Chi Research Unit of Biomedical Engineering in Anesthesia and Intensive Care Medicine and TCM Research C
国际会议
重庆
英文
438-443
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）