Improved Morphological Band-Pass Filtering Algorithm and Its Application in Circle Detection

Existing image segmentation and image enhancement methods are deficient in complex industrial environments. Therefore, an improved morphological band-pass filter algorithm is presented. The first step of the algorithm is obtaining two marker images by erosion operations for a test image with two kinds of structuring elements: one slightly larger and one smaller than the feature but similar in shape. The second step is obtaining an image only, including the background, and an image including the feature with the background, excluding noise. The final step is realizing the feature segmentation by carrying out a difference operation on the two images. Selection of the structuring elements in the algorithm and the computational cost reduction are also discussed for engineering applications. Experimental results show that the proposed algorithm achieves the accurate segmentation of the circle at a specific scale through the velocity-optimized morphological operation and features good real-time performance and high accuracy in complex industrial environments, which could meet the requirements of industrial online monitoring.

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