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Trigger finger is a common hand disease, causing swelling, painful popping and clicking in moving the affected finger joint. To better evaluate patients with trigger finger, segmentation of flexor tendons from magnetic resonance (MR) images of finger joints, which can offer detailed structural information of tendons to clinicians, is essential. This paper presents a novel model-based method with three...
The drawbacks of commonly applied color treatment based on the HSI space model have been identified as being the additional computation load for color model conversion, which results in compromising the real-time traffic sign detection. The relevant analysis shows that the major factor adversely affecting the segmentation of traffic signs is closely associated with the color complexity. To reduce...
Accurate segmentation of beef-marbling images plays an important role in making the correct decision on the beef-marbling score in an automatic beef quality grading system. The purpose of this study is to develop a novel segmentation method to correctly separate the fat flecks from the muscle in the rib-eye region in a beef image and to compare the proposed segmentation method to prior algorithms...
Ultrasound images have been employed in guiding clinical interventional therapy procedures for liver tumor. However, segmenting liver tumor in the ultrasound images presents a unique challenge because of the low-contrast objects in the noisy image. Snakes, or active contours have had limited success in such noisy and complex image. In this paper, an adaptive level set method is proposed, which combines...
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