Topic
Distance transform
About: Distance transform is a research topic. Over the lifetime, 2886 publications have been published within this topic receiving 59481 citations.
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TL;DR: In this article, a multicolumn distance field based on signed distance field was proposed for modeling and analysis of heterogeneous objects, where the geometric model of an object was represented by the signed distance fields and each grid was assigned with material property and material distance field which had the same resolution with geometric distance fields was calculated according to material feature.
12 citations
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01 Oct 2008TL;DR: In this paper, a method for differentiating pulmonary nodules in digitized medical images was proposed, which identifies an object of interest from a digital image of the lungs, computing a first distance map of each point of the object, determining a seed point from the distance map, starting from the seed point, growing a first region by adding successive adjacent layers of points until a background point is reached, and partitioning the first region into a nodule region and a non-nodule region.
Abstract: A method for differentiating pulmonary nodules in digitized medical images includes identifying an object of interest from a digital image of the lungs, computing a first distance map of each point of the object of interest, determining a seed point from the first distance map, starting from the seed point, growing a first region by adding successive adjacent layers of points until a background point is reached, and partitioning the first region into a nodule region and a non-nodule region.
12 citations
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TL;DR: An image enlargement method preserving perceptual sharpness, which is achieved by augmenting a low resolution image with high-frequency components from a given image itself itself, and uses the Mahalanobis distance as a distance measure.
12 citations
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08 Feb 2013TL;DR: In this article, a distance calculation device is provided with a monocular estimated-distance calculation unit (203) that calculates the estimated distance to the subject to be measured on the basis of an image picked up by a camera (101, 102), a stereo estimated distance measurement unit (204), and an output distance calculation unit(206), which is calculated on the ground truth images collected by at least two cameras.
Abstract: In order to carry out distance measurement at less than the disparity resolving power of a stereo camera, and carry out fine measurement of the relative distance to a subject even when the reliability of the images picked up by the cameras has deteriorated, a distance calculation device is provided with a monocular estimated-distance calculation unit (203) that calculates the estimated distance to the subject to be measured on the basis of an image picked up by a camera (101), a stereo estimated-distance calculation unit (204) that calculates the estimated distance to the subject to be measured on the basis of images picked up by at least two cameras (101, 102), and an output distance calculation unit (206) that calculates an output distance to the subject to be measured. The outputting distance calculation unit (206) calculates the output distance on the basis of the estimated-distance calculated by the monocular estimated-distance calculation unit, the estimated-distance calculated by the stereo estimated-distance measurement unit, and the weighting of both the estimated-distances determined according to the confidence of the stereo estimated-distance measurement unit, which is calculated on the basis of the images picked up by the at least two cameras.
12 citations
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TL;DR: This study explores a new deformable snake model called multi-scale generalized gradient vector flow (MS-GGVF) to segment ultrasound images in HIFU ablation systems and demonstrates that the proposed algorithm is robust, reliable, and precise for tumor boundary detection in HifUAblation systems.
Abstract: As a key technology in high-intensity focused ultrasound (HIFU) ablation systems, a precise ultrasound image segmentation method for tumor boundary detection is helpful for ablation of tumors and avoiding tumor recurrence. This study explores a new deformable snake model called multi-scale generalized gradient vector flow (MS-GGVF) to segment ultrasound images in HIFU ablation. The main idea of the technique is dealing with two issues including spurious boundary attenuation and setting the standard deviation of the Gaussian filter. We assign the standard deviation as scales to build the MS-GGVF model and create a signed distance map to use its gradient direction information and magnitude information to refine the multi-scale edge map by attenuating spurious boundaries and highlighting the real boundary. In addition, a fast generalized gradient vector flow computation algorithm based on an augmented Lagrangian method is introduced to calculate the external force vector field to improve the computation efficiency of our model. The experimental segmentations were similar to the ground truths delineated by two medical physicians with high area overlap measure and low mean contour distance. The experimental results demonstrate that the proposed algorithm is robust, reliable, and precise for tumor boundary detection in HIFU ablation systems.
12 citations