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| A bionic oriented method for quantitative analysis of geometrical
structure of animal organs in mesoscale |
| 1. Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming,Yunnan 650500, China; 2. Agricultural Research Service, United States Department of Agriculture, Wooster, OH 44691, USA; 3. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming,Yunnan 650500, China; 4. The Key Laboratory of Bionic Engineering, Jilin University, Changchun, Jilin 130025, China; 5. International Soil and Water Renewables, LLC, Salem, Indiana 47167, USA |
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Abstract To quantitatively analyze the structural characteristics of mesoscaled (0.1～1.0 mm) animal organs,the computer vision technology was exploited to substitute the human visual identification process. The foreleg endtooth of typical soil animaldung beetle (Copris ochus Motschulsky) with mesoscaled characteristics were taken as research object to propose a quantitative analysis method. The mesoscale animal organ outer margin contour points were extracted from stereomicroscope image by the proposed method. The stereomicroscope image of bionic object animal organ was prepared, and the Matlab software was used as platform to design program for reducing interference and noise. The outer contour of twodimensional point cloud of dung beetle foreleg end tooth was identified and extracted from the stereomicroscope image to quantitatively analyze geometrical structure. The accuracy and the repeatability of the proposed method were verified. The results show that the outer edge profile of foreleg end tooth can be extracted from stereomicroscopy image with 669×727 pixels, and about 1 500 outer edge contour points are obtained. The selection of different thresholds in the gray scale histogram range does not significantly alter the results of curve fitting. It is confirmed that compared to the traditional method, the digital image processing and computer vision analysis method is efficient and accurate to quantitatively analyze geometrical characteristic features of dung beetle foreleg endtooth.
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2018, Vol. 39 
