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Springer, Berlin, Heidelberg

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10.1007/s00421-002-0772-4

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Enhancement of Ultrasonic Image Based on the Multi

Authors: Yali Huang Yuehua Gao Hong Wang Dongmei Hao Jinhui Zhao Zhen Zhao
Publish Date: 2012
Volume: , Issue: , Pages: 115-120
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Abstract

Liver ultrasonic images enhancement processing is studied based on Retinex theory in this paper Characteristic parameters extracted based on Retinex theory algorithm are compared to that of histogram equalization and homomorphic filtering The experiment data show that MultiScale Retinex enhancement algorithm can improve image brightness increase contrast and enlarge image information entropy Then the statistical feature parameters abstracted based on MSR are applied for texture classification by the Probabilistic Neural Network PNN and it achieve good effects


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