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Both the cloud model and type-2 fuzzy sets deal with the uncertainty of membership which traditional type-1 fuzzy sets do not consider. Type-2 fuzzy sets consider the fuzziness of the membership degrees. The cloud model considers fuzziness, randomness, and the association between them. Based on the cloud model, the paper proposes an image segmentation approach which considers the fuzziness and randomness...
This paper proposes a novel method of image segmentation based on cloud concept analysis. The histogram of image is transformed into modes expressed by cloud models, and an image pan concept tree representing different granularities is generated by concept ascending. Image segmentation is accomplished through choosing proper granularities and corresponding concept hierarchy. Experimental results and...
The paper focuses on the image segmentation methods based on histogram analysis, and proposes a novel image segmentation approach based on cloud model. Firstly, the paper introduces the basic principles of cloud model. Similar to type-2 fuzzy sets, cloud model considers the uncertainty of membership grades. But it also considers the randomness of them. It is a new kind of uncertain model which is...
According to the features of the configuration and color information on the cancer cells, an adaptive automatic threshold segmentation based on the RGB and HIS color spaces is presented, which is available to segment suspected cancer cells and nucleus from the complex backgrounds in the microscopic images. The edges of the suspected cancer cells and nucleus are detected by using Canny operator. Using...
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