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Title:Experimental research on object extraction and edge detection of hot forging parts
Authors: Xing Zuochang  Tian Subo  Liu Siyao  Lin Jing  Zhang Zuli 
Unit: Shenyang Agricultural University 
KeyWords: edge detection object extraction color space dynamic threshold morphology 
ClassificationCode:TP391.41
year,vol(issue):pagenumber:2016,41(2):124-132
Abstract:

On line measurement of hot forgings has been a problem in forging process. Image processing is one of the most important ways in solving this problem. The object extraction and edge detection are the keypoints in image processing. For the influences of light radiation, forging scale and strong light interference, it was studied the image feature of the high temperature forging parts in a variety of color space, and the object extraction scheme based on color space conversion and dynamic threshold segmentation was proposed. Considering the disadvantages of fixed structure elements in traditional edge detection operator, the influences of shape, size, direction, weights of the morphological structure elements on the edge extraction effect of hot forging parts were researched, and multi-scale morphological edge detection operator was put forward. At last, the edge detection system of high temperature forging parts was developed and the experiment cylinder with the end face keyway was conducted. The results show that the methods can obtain ideal contour edge information.

Funds:
国家自然科学基金资助项目(51275318);公益性行业(农业)科研专项(201503116)
AuthorIntro:
邢作常(1971-),男,博士研究生 张祖立(1952-),男,学士,教授,博士生导师
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