Automatic Detecting Particle Objects in Image

The aim of urine clinical examination is to identify the pathology components and diagnose diseases of the urology system. It is necessary to realize automatization in the field of microscopic analyzer of urine solution. Detecting particles in the microscopic image is much more difficult because the particles has irregular shape and blur edge. This paper briefly discusses image segmentation and the particles detecting. We present a new robust method for the problem of automatically detecting the particles’ location in images. We use Gabor-based feature to enhance the edge information and present a region potential term based on the classical iterative combining iterative method. Following an edge-linking procedure, the regions of objects can be bounded by closed boundaries. Keyword: Gabor-based filter, image segmentation, detecting particles, microscopic analyzer.

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