A quaternion gradient operator for color image edge detection

2013 ◽  
Author(s):  
Lianghai Jin ◽  
Enmin Song ◽  
Lei Li ◽  
Xiang Li
Keyword(s):  
Edge Detection ◽  
Color Image ◽  
Gradient Operator ◽  
Image Edge Detection ◽  
Image Edge

Edge Detection of Color Images Based on Improved Morphological Gradient Operators

2014 ◽  
Vol 511-512 ◽  
pp. 550-553 ◽  
Author(s):  
Jian Yong Liang
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Color Image ◽  
Color Images ◽  
Morphological Gradient ◽  
Image Edge Detection ◽  
Gradient Based ◽  
Image Edge ◽  
Edge Detection Method ◽  
Traditional Approaches

Edge detection is an old and hot topic in image processing, pattern recognition and computer vision. Numerous edge detection approaches have been proposed to gray images. It is difficult to extend these approaches to color image edge detection. A novel edge detection method based on mathematical morphology for color images is proposed in this paper. The proposed approach firstly compute vector gradient based on morphological gradient operators, and then compute the optimal gradient according to structure elements with different size. Finally, we use a threshold to binary the gradient images and then obtain the edge images. Experimental results show that the proposed approach has advantages of suppressing noise and preserving edge details and it is not sensitive to noise pixel. The finally edge images via the proposed method have high PSNR and NC compared with the traditional approaches.

Fabric Image Edge Detection Based on Quaternion and Echo State Networks

2012 ◽  
Vol 263-266 ◽  
pp. 2483-2487
Author(s):  
Ang Yan Tu ◽  
Jian Cheng Chen
Keyword(s):  
Edge Detection ◽  
Color Image ◽  
Detection Algorithm ◽  
Good Effect ◽  
Vector Product ◽  
Edge Detection Algorithm ◽  
Echo State Networks ◽  
Image Edge Detection ◽  
Image Edge

Based on synthesizing quaternion and the R, G, B component of color image , a color image edge detection algorithm was proposed combining quaternion with Echo State Networks(ESN) in this paper . The pixel and its eight neighbourhood average is used to calculate vector product as the characteristic vectors of image edge. Then the ESN has been trained by the characteristic vectors. After training , the ESN is directly used for edge detection. Experiments show that this method has good effect of fabric edge detection, and have a stronger ability to keep the details.

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