Development of Edge Detection Technique for Images Using Adaptive Thresholding

被引:0
|
作者
Samanta, Debabrata [1 ]
Sanyal, Goutam [1 ]
机构
[1] Natl Inst Technol, Dept Comp Sci & Engn, Durgapur 713209, W Bengal, India
关键词
Adaptive Threshold; Background Pixel; Gradient;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Edge detection is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. In this paper a simple edge detection technique is performed by convoluting the image using a five order mask and then Selecting a threshold from taking the sum of mean value and the standard deviation of the gradient image within a 3 X 3 window. In Canny edge detection a gauss kernel is used for smoothing the image in order to eliminate the noise. But in our algorithm a single mask perform the noise smoothing as well as finding the edge strength.
引用
收藏
页码:671 / 676
页数:6
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