Journal
OPTIK
Volume 144, Issue -, Pages 642-646Publisher
ELSEVIER GMBH, URBAN & FISCHER VERLAG
DOI: 10.1016/j.ijleo.2017.07.002
Keywords
Image edge information detection; PCB photoelectric image; Image preprocessing; Adaptive iterative threshold selection; algorithm; Image edge information entropy; Canny operator
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Funding
- National Natural Science Foundation of China [61475045, 61262032, 61562029]
- Hunan Provincial Education Department of China [13A062]
- Program Research Foundation of Hunan Province Science-Technology Department of China [2011FJ3076]
- Key Laboratory of photoelectric Information Integration and Optics Manufacture Technology in Hunan Province [2011171]
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In order to carry out edge information detection for printed circuit board (PCB) photoelectric image better, an effective edge information detection method by combining image preprocessing with image detection based on adaptive iterative threshold selection algorithm is proposed. Firstly, the PCB photoelectric image enhancement preprocessing method based on removing gray redundancy and gray scale transformation is discussed. Secondly, the basic principle of image detection based on adaptive iterative threshold selection algorithm is analyzed, and its formulas are deduced. Finally, in order to verify the correctness of the basic principle analysis, the image edge information detection experiments by using the PCB photoelectric images acquired by CCD and microscope are actualized, and the better edges information of the subjective results and the objective results are obtained. (C) 2017 Elsevier GmbH. All rights reserved.
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