Blood vessel segmentation for neck and head computed tomography angiography Anders Hedblom
... Angiography allows for examination of the blood vessels in the body without having to undergo surgery. The body is scanned, with for instance a computed tomography scanner, and can then be viewed in 3D. All the tissues in the body will be displayed with different intensities, depending on their dens ...
... Angiography allows for examination of the blood vessels in the body without having to undergo surgery. The body is scanned, with for instance a computed tomography scanner, and can then be viewed in 3D. All the tissues in the body will be displayed with different intensities, depending on their dens ...
SOILIE: A Computational Model of 2D Visual Imagination
... mental units and not any specific objective metrics. This models the fact that people do not need any specific culturally invented unit of measure to represent visuospatial magnitudes (Gagné & Davies, 2010). When queried, these fuzzy distributions are de-fuzzified and return a crisp number indicatin ...
... mental units and not any specific objective metrics. This models the fact that people do not need any specific culturally invented unit of measure to represent visuospatial magnitudes (Gagné & Davies, 2010). When queried, these fuzzy distributions are de-fuzzified and return a crisp number indicatin ...
Fig 2(d) - Academic Science,International Journal of Computer
... a pixel under AHE is proportional to its rank among the pixels in its neighbourhood. This allows an efficient implementation on specialist hardware that can compare the center pixel with all other pixels in the neighbourhood. An unnormalized result value can be computed by adding 2 for each pixel wi ...
... a pixel under AHE is proportional to its rank among the pixels in its neighbourhood. This allows an efficient implementation on specialist hardware that can compare the center pixel with all other pixels in the neighbourhood. An unnormalized result value can be computed by adding 2 for each pixel wi ...
Sparsity-Based Liver Metastases Detection Using Learned
... Table 2. Comparison between LC-KSVD and RF We also explored the performance in the lesion level. A correct detection of a lesion was defined as one or more super-pixels detected inside a lesion. A FP was defined as every super-pixel wrongly classified as a lesion. A detection rate of 91% was achieve ...
... Table 2. Comparison between LC-KSVD and RF We also explored the performance in the lesion level. A correct detection of a lesion was defined as one or more super-pixels detected inside a lesion. A FP was defined as every super-pixel wrongly classified as a lesion. A detection rate of 91% was achieve ...
Leaf Vein Extraction Using Independent Component Analysis
... 50,000 12x12 pixel patches from 12 sub-images, taken from 21 kinds of tree leaf images. For any two points p(i,j) and p(i’,j’), their gray-scale values (contrasts) were uncorrelated over time as we sampled them randomly. The training set was considered as the observation data in the ICA model. Befor ...
... 50,000 12x12 pixel patches from 12 sub-images, taken from 21 kinds of tree leaf images. For any two points p(i,j) and p(i’,j’), their gray-scale values (contrasts) were uncorrelated over time as we sampled them randomly. The training set was considered as the observation data in the ICA model. Befor ...
The Site-Model Construction Component of the RADIUS Testbed
... of Communication (LOCs) such as roads, rail lines, and runways is to select an appropriate width. For example, primary roads and rail lines are typically wider than secondary roads. The model builder can then select a tangent direction and/or some points along the LOC to provide approximate position ...
... of Communication (LOCs) such as roads, rail lines, and runways is to select an appropriate width. For example, primary roads and rail lines are typically wider than secondary roads. The model builder can then select a tangent direction and/or some points along the LOC to provide approximate position ...
various object recognition techniques for computer vision
... significantly or the recognition rate drops off as the number of objects increases. For this reason, most existing approaches have only been demonstrated on small data sets. Comparing and querying images require software with abilities similar to a human operator. The use of colors, textures, and in ...
... significantly or the recognition rate drops off as the number of objects increases. For this reason, most existing approaches have only been demonstrated on small data sets. Comparing and querying images require software with abilities similar to a human operator. The use of colors, textures, and in ...
Chapter. 5/Pelizzari - Advanced Medical Publishing
... side objects of interest, implicitly defining the boundaries between these regions as the object surfaces. There are a large number of segmentation methods available which implement each of these styles, either identifying boundaries as contours directly or classifying voxel regions into objects who ...
... side objects of interest, implicitly defining the boundaries between these regions as the object surfaces. There are a large number of segmentation methods available which implement each of these styles, either identifying boundaries as contours directly or classifying voxel regions into objects who ...
Automatic Segmentation and Indexing in a Database of Bird Images
... tions of the background do not have any edges present while the odd and even edge crossings on each scanline is included the edges on the bird are still present. It is clear from the in the final output segment which represents the object of image on the right side that the edge image alone is insuf ...
... tions of the background do not have any edges present while the odd and even edge crossings on each scanline is included the edges on the bird are still present. It is clear from the in the final output segment which represents the object of image on the right side that the edge image alone is insuf ...
Learning to Control Robotic Systems Presented at
... Leg detection in 2-D map, generated using “two legs apart pattern” in the vertical projection laser scan, does not provide any discriminating histogram of the detected foreground. feature to distinguish between a human leg & Motion controller design other objects having leg shaped base e.g. A shap ...
... Leg detection in 2-D map, generated using “two legs apart pattern” in the vertical projection laser scan, does not provide any discriminating histogram of the detected foreground. feature to distinguish between a human leg & Motion controller design other objects having leg shaped base e.g. A shap ...
testreport
... maximum. At the extreme left of the image there appears to be a number of hot pixels, and there are a number of column defects some 200 pixels or so to the right. Both these features appear to be cosmetic defects within the silicon itself. The 'blob' type smudge that appears further to the left is p ...
... maximum. At the extreme left of the image there appears to be a number of hot pixels, and there are a number of column defects some 200 pixels or so to the right. Both these features appear to be cosmetic defects within the silicon itself. The 'blob' type smudge that appears further to the left is p ...
pattern recognition - CIS @ Temple University
... values. Some instances require that grey levels be represented by more integers than others because they are frequently occurring. For an example: humans have a limited perception of brightness. It is more difficult to see the difference in darker tones because our eyes have a logarithmic response t ...
... values. Some instances require that grey levels be represented by more integers than others because they are frequently occurring. For an example: humans have a limited perception of brightness. It is more difficult to see the difference in darker tones because our eyes have a logarithmic response t ...
word - Andrew L. Diamond
... Textile Inspection – Designed and implemented a textile inspection software module. The system inspected fabric for detects as it moved on a roll. The system communicated the position of the defects so that the “cutter” would know where the defects were located and appropriate action taken. Database ...
... Textile Inspection – Designed and implemented a textile inspection software module. The system inspected fabric for detects as it moved on a roll. The system communicated the position of the defects so that the “cutter” would know where the defects were located and appropriate action taken. Database ...
Basic Display and Calibration Part 2
... a. Place the mouse on one of the very brightest stars and repeat. b. Place the mouse on another of the brightest stars and repeat. c. Place the mouse on one of the faintest stars and repeat. d. Place the mouse on another of the faintest stars and repeat. e. Place the mouse on an apparently empty pie ...
... a. Place the mouse on one of the very brightest stars and repeat. b. Place the mouse on another of the brightest stars and repeat. c. Place the mouse on one of the faintest stars and repeat. d. Place the mouse on another of the faintest stars and repeat. e. Place the mouse on an apparently empty pie ...
Example: Data Mining for the NBA - The University of Texas at Dallas
... refer to regions (byte ranges) in an evidence file. XIRAF stores such annotations in an XML database, which allows us to query the annotations using a single, powerful query language (XQuery). XIRAF provides the forensic investigator with a rich query environment in which browsing, searching, and pr ...
... refer to regions (byte ranges) in an evidence file. XIRAF stores such annotations in an XML database, which allows us to query the annotations using a single, powerful query language (XQuery). XIRAF provides the forensic investigator with a rich query environment in which browsing, searching, and pr ...
Lecture 14 - The University of Texas at Dallas
... refer to regions (byte ranges) in an evidence file. XIRAF stores such annotations in an XML database, which allows us to query the annotations using a single, powerful query language (XQuery). XIRAF provides the forensic investigator with a rich query environment in which browsing, searching, and pr ...
... refer to regions (byte ranges) in an evidence file. XIRAF stores such annotations in an XML database, which allows us to query the annotations using a single, powerful query language (XQuery). XIRAF provides the forensic investigator with a rich query environment in which browsing, searching, and pr ...
doc - UBC ECE
... Repeat the same process for those pixels just being switched on until no more “new” pixels in the region being found. For 8-connectivity, the idea is the same but this time all 8 neighbours of a pixels will be checked. Filling Rectangles Fill each span (segment of scan-line containing the rectan ...
... Repeat the same process for those pixels just being switched on until no more “new” pixels in the region being found. For 8-connectivity, the idea is the same but this time all 8 neighbours of a pixels will be checked. Filling Rectangles Fill each span (segment of scan-line containing the rectan ...
BW31494497
... the water- shed differences with classical edge detectors. Felkel et al. [10] use the shortest path cost between two nodes which is defined as the smallest lexicographic cost of all paths between two points, which reflects the flooding process when the water reaches a plateau. The success of watersh ...
... the water- shed differences with classical edge detectors. Felkel et al. [10] use the shortest path cost between two nodes which is defined as the smallest lexicographic cost of all paths between two points, which reflects the flooding process when the water reaches a plateau. The success of watersh ...
Debi Prasad Tripathy K. Guru Raghavendra Reddy
... increase the quality of the ore. The vast developments in the area of artificial intelligence allows fast processing of full color digital images for the preferred investigations. In this paper, a novel approach to categorize the ores of iron feed has been pr ...
... increase the quality of the ore. The vast developments in the area of artificial intelligence allows fast processing of full color digital images for the preferred investigations. In this paper, a novel approach to categorize the ores of iron feed has been pr ...
Image segmentation
In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s).When applied to a stack of images, typical in medical imaging, the resulting contours after image segmentation can be used to create 3D reconstructions with the help of interpolation algorithms like Marching cubes.