Method for classifying and identifying visible components of microscopic excrement examination images based on machine vision
A technology of machine vision and classification recognition, which is applied in the field of image processing, can solve the problems of the accuracy and speed of classification and recognition of formed components, lack of objective standards, heavy inspection workload, etc. The effect of fast speed and avoiding boundary leakage
CN106682633AActive Publication Date: 2017-05-17SICHUAN ORIENTER BIOLOGICAL TECH
Patent Information
- Authority / Receiving Office
- CN ยท China
- Current Assignee / Owner
- SICHUAN ORIENTER BIOLOGICAL TECH
- Publication Date
- 2017-05-17
Smart Images
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Abstract
The invention relates to the technical field of image processing and discloses a method for classifying and identifying visible components of microscopic excrement examination images based on machine vision. Firstly, a level set method is applied to conduct image segmentation on microscopic excrement examination images, then primary classification based on morphological characteristics and verifying identification based on an HOG + VSM are sequentially performed according to shapes and outlines of the visible components obtained through segmentation, and finally high-precision visible component classification and identification results are rapidly obtained for timely consulting of patients. In addition, the method further has the advantages of being high image segmentation precision, high in processing speed, good in user experience and the like and is convenient to apply actually and popularize.
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Claims
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