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In order to improve the accuracy of medical image segmentation and overcome the shortcomings of maximum entropy segmentation algorithm, the paper proposes the medical image segmentation based on maximum entropy multi-threshold segmentation optimized by improved cuckoo search algorithm (MCS). Firstly, the maximum entropy method is adopted to find the optimization objective function, then the improved...
The multilevel thresholding is an important technique for image processing and pattern recognition. The maximum entropy thresholding has been widely applied in the literature. In this paper, a new multilevel MET algorithm based on the technology of the firefly algorithm is proposed. This proposed method is called the maximum entropy based firefly thresholding method. Four different methods are implemented...
The maximum entropy threshold has been proven as an efficient method in image segmentation for bilevel thresholding. However, this method becomes very time-consuming when extended to multilevel threshold problem. To solve the problem, a multilevel maximum entropy threshold method based on quantum particle swarm optimization is proposed. The experimental results demonstrate the success of the proposed...
Niching techniques play an important role in evolutionary algorithms. Considering the characteristics of the inconspicuous difference between targets and backgrounds and the low contrast in infrared images, a new algorithm based on niching particle swarm optimization is used in the infrared image processing to determine the optimal thresholds in image segmentation. The algorithm uses fuzzy C-mean...
The multilevel thresholds image segmentation method based on maximum entropy and improved particle swarm optimization (PSO) is presented in this paper. The proposed algorithm takes advantage of the characteristics of particle swarm optimization, and improves the parameter and evolutional process of basic PSO. Compared with the basic PSO method, the proposed method can get the better optimal thresholds...
Image processing bears some fuzziness in nature, as a effective mathematical tool for handling the ambiguity, Fuzzy set theory is introduced in the paper to define a new kind of fuzzy entropy, namely two-dimension fuzzy Tsallis entropy (TFTE) and applied in image segmentation following the maximum entropy principle. To overcome the huge calculational burden when generalizing one-dimension entropy...
The contrast of the underwater images is often extraordinarily low due to the ray, assimilating of water, illuminating condition and so on. It is not good for the pretreatment like edge detection and image segmentation. The theory of entropy has been widely used in the pre-process of under water images. However the time-consuming computation is often an obstacle in real time application systems. In...
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