Abstract
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.
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