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 Multi-Scale 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.
The research work is supported by Hebei University youth fund (2008Q35) of China.
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Huang, Y., Gao, Y., Wang, H., Hao, D., Zhao, J., Zhao, Z. (2012). Enhancement of Ultrasonic Image Based on the Multi-Scale Retinex Theory. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_18
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DOI: https://doi.org/10.1007/978-3-642-25792-6_18
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