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| Study on Physiological Slice Trabecular Recognition Based on Multi-feature-found |
| YE Han-xiao1,JIN Hong-ting1,YUAN Xin2,YING Hang2 |
1.Zhejiang Chinese Medicine University, Hangzhou, Zhejiang 310053, China
2.Zhejiang University, Hangzhou, Zhejiang 310013, China |
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Abstract Target recognition is a development trend of bone histomorphometry. Study on the characteristics of image information, it is necessary to discriminate trabecular bone of bone tissue sliced by yin hung-hematoxylin. Analysis bone tissue image histogram channel characteristics of HSL color space, based on the image segmentation threshold of color channels, by Lazy Snapping method, it will obtain the image features of trabecular bone in-depth information, and it will improve scanning seed filling algorithm to extract multi feature information by fusion target area. The results show that extract trabecular bone by analysis image multi-feature let repetitive operation improve, improved scanning seed filling algorithm let complex image such as trabecular extraction speed from ten minutes to 257ms. Improved scan line algorithm can get the robust target area more quickly.
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Received: 04 March 2015
Published: 28 December 2016
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2017, Vol. 38 
