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Cervical cancer, which has been affecting women worldwide as the second most common cancer, can be cured if detected early and treated well. Routinely, expert pathologists visually examine histology slides for cervix tissue abnormality assessment. In previous research, we investigated an automated, localized, fusion-based approach for classifying squamous epithelium into Normal, CIN1, CIN2, and CIN3...
Thresholding is a simple but efficient method for image segmentation, but selections of threshold depend on experiences and trials. We present an approach to generate self-adaptive threshold for image segmentation in this paper, threshold is obtained with 2-dimensional entropy and optimized with Differential Evolution. To obtain a relatively fair threshold, we run Differential Evolution algorithm...
A novel Fuzzy c Means(FCM) algorithm with modified distance computation is proposed in this paper. We modify the distance in FCM with the neighborhood information of cluster centers. The distance in FCM is composed of the Euclidean distance and a characteristic distance, and the characteristic distance is calculated with a pixel center window and tuned with a coefficient. The Gamma function is selected...
We propose an image segmentation approach with FCM optimized by Differential Evolution(DE) algorithm, a weighed summary validity function with some popular FCM validity functions is presented to form the fitness function of DE, we check our approach with some validity functions and compare experimental results between FCM and our method, comparisons show high performance of our approach.
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