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An efficient graph based image segmentation algorithm exploiting a novel and fast turbo pixel extraction method is introduced. The images are modeled as weighted graphs whose nodes correspond to super pixels; and normalized cuts are utilized to obtain final segmentation. Utilizing super pixels provides an efficient and compact representation; the graph complexity decreases by hundreds in terms of...
Panoramic images providing a larger local overview of the internal urinary bladder wall can be used for documentation and surgery planning, as well as assist the re-identification of multi-focal tumors during a cystoscopy. In contrast to white light illumination, the photodynamic diagnosis (PDD) leads to an enhanced tissue contrast, resulting in a reddish fluorescence of malignant tissue excited by...
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour without edges model with level set representation and a connected component filtering strategy. The experiments performed show that, it can be used for segmentation of multiple-textured images, with a segmentation quality...
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