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Extracting the breast region accurately from a mammogram is a kernel stage for the breast mass analysis. It significantly influences the overall analysis accuracy and processing speed of the whole breast mass analysis. This paper presents an algorithm to extract the breast region from a mammogram. The presented algorithm first combines the median filtering,(More)
An imbalanced classification means that a dataset has an unequal class distribution among its population. For any given dataset, regardless of any balancing issue, the predictions made by most classification methods are highly accurate for the majority class but significantly less accurate for the minority class. To overcome this problem, this study took(More)
This paper adopts a content-based image retrieval method based on an efficient combination of dominant colors and edge valley histogram. The dominant colors, which are the most frequently appeared colors in RGB color space, are easy to extract and closed human perception. Edge valley histogram represents the motifs of the edge and valley blocks in images.(More)
In this paper, an adaptive DEbased reversible steganographic scheme with bilinear interpolation and simplified location map is proposed. In traditional reversible difference expansion (DE) scheme, it suffers from two problems: the embeddable location is considered insufficient and the embedding payload control capability in single layer embedding is weak.(More)