Based on vector flexible weighted morphological image edge detection

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Liu, Zhigang^1 ; Guo, Yanying^1

Guangzhou Civil Aviation College, Guangzhou, Guangdong province

510403, China^1

关键词: Edge detection algorithms;    Gradient operation;    Gradient operators;    Morphological algorithms;    Morphological gradient operators;    Morphological images;    Morphological operator;    Structural elements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/4/042029/pdf
DOI  :  10.1088/1755-1315/252/4/042029

来源: IOP

【 摘 要 】

The classic gray-scale morphological operator has been widely used in image filtering, edge detection, image enhancement and image segmentation, etc. Morphology theory in color image processing was still in the stage of exploration in the field of application, the application of mathematical morphology in image processing is good or not is the key to the morphological gradient operator and structural elements. In view of the two key factors the vector flexible weighted morphological algorithm is put forward to detect image edge. Firstly build the weighted structural elements, if the pixel is the edge of the image to give greater weighted value, otherwise give small weighted value. Secondly reference gray-scale morphological duality theorem, the vector flexible gradient operator meets the duality theorem of color image. Vector flexible gradient operator is proposed to apply weighted structural elements to corrosion and dilation gradient operation to extract image edge. The experimental results show that the proposed vector flexible weighted morphological operators edge detection algorithm can effectively extract image edges, keep small image edge and can remove the image noise, verify the effectiveness of the proposed algorithm.