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Level set methods have been widely used to implement active contours for image segmentation applications due to their good boundary detection accuracy. In the context of medical image segmentation, weak edges and inhomogeneities remain important issues that may hinder the accuracy of any segmentation method based on active contours implemented using level set methods. This paper proposes a method...
The Pap test is a manual screening procedure that is used to detect the precursor lesions of cervical cancer by analyzing changes in nuclei and cytoplasms of cervical cells. Due to the sensitivity of the Pap test to intra- and inter-observer variability, automating the procedure using digital image analysis test is still an open problem. Within this context, segmentation of overlapping cervical cells...
The quality of the extracted gait silhouettes can hinder the performance and practicability of gait recognition algorithms. In this paper, we analyse the influence of silhouette quality caused by segmentation disparities, and propose a feature fusion strategy to improve recognition accuracy. Specifically, we first generate a dataset containing gait silhouette with various qualities generated by different...
Minimization of perceptual and statistical distortions is one of the main challenges facing steganographic schemes. The most common approach to minimizing perceptual distortion is Least Significant Bit embedding. However, the statistical features (e.g., histogram) of the stego-images may be changed significantly even with selection of the regions of interest in the embedding process. This opens security...
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