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Adaptive analysis method for particles image
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DOI：10.1007/s11042-018-6957-6.png)
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Abstract
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To address the adhesion problem that usually exists in particle image analysis, a kind of adaptive method is proposed in this paper. First, gray transformation and median filtering are conducted on a particle image. Then, the obtained target image is threshold segmented. In addition, distance transformation and watershed segmentation are performed on the binary image that was processed based on the mathematical morphology, and the watershed ridge line in the image can be obtained. The boundary in the adhesion region is extracted by performing an intersection calculation between the original image and the segmented target area. Finally, the parameters of single particles, such as the area, perimeter and particle diameter, are calculated, and particle image analysis is realized. Through experiments on images collected in the laboratory, it is shown that this method is simple and convenient and can be popularized in the industry.
Keywords:
Adhesive particles
Mathematic morphology
Overlapping particles
Watershed method
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