Fundamentals of Multimedia, Chapter 18
... – Prior to the classification of feature tiles, image pixels are classified as having either dominant color or transitional color. – Dominant colors: pixel colors that do not lie on a slope of color change in their pixel neighborhood. Transitional colors do. – Enhancing the uniformity of the dominan ...
... – Prior to the classification of feature tiles, image pixels are classified as having either dominant color or transitional color. – Dominant colors: pixel colors that do not lie on a slope of color change in their pixel neighborhood. Transitional colors do. – Enhancing the uniformity of the dominan ...
A Latent Semantic Indexing Based Method for Solving Multiple
... from feedbacks stored in database access logs. Related work on using database log information can be found in [9] [12] [13]. However, again their works are based on the whole image instead of image regions. Longterm learning techniques which try to propagate the feedback information across query ses ...
... from feedbacks stored in database access logs. Related work on using database log information can be found in [9] [12] [13]. However, again their works are based on the whole image instead of image regions. Longterm learning techniques which try to propagate the feedback information across query ses ...
Nonparametric Curve Extraction Based on Ant Colony System Qing Tan Qing He
... terminal pixel in the path, reverse the path between them at the same time. After applying this rule, the raw path [4 5 6 7 8 9] turns into [9 8 7 6 5 4]. In this way pixel number 9 becomes one of the two end points and pixel number 4 becomes a new starting node, from which ant could continue search ...
... terminal pixel in the path, reverse the path between them at the same time. After applying this rule, the raw path [4 5 6 7 8 9] turns into [9 8 7 6 5 4]. In this way pixel number 9 becomes one of the two end points and pixel number 4 becomes a new starting node, from which ant could continue search ...
Computerized Medical Imaging and Graphics Acquisition
... in DSA is pixel shifting. According to this technique, the correspondence between the mask and the contrast image is achieved by manually shifting one image relatively to the other one. Despite existing semi-automatic versions, this remains a very rudimentary method especially due to the time-consum ...
... in DSA is pixel shifting. According to this technique, the correspondence between the mask and the contrast image is achieved by manually shifting one image relatively to the other one. Despite existing semi-automatic versions, this remains a very rudimentary method especially due to the time-consum ...
An Efficient Filling Algorithm for Non
... incrementally updated and pixels in between are filled. At some stage the intersection formula derived in the continuous plane and usually computed using real arithmetic has to be mapped to the discrete plane. This mapping necessitates an implicit or explicit epsilon-test that may cause incorret res ...
... incrementally updated and pixels in between are filled. At some stage the intersection formula derived in the continuous plane and usually computed using real arithmetic has to be mapped to the discrete plane. This mapping necessitates an implicit or explicit epsilon-test that may cause incorret res ...
Application of AI Techniques in Medical Image Segmentation
... Pan [28] classified the segmentation methods in four groups including interactive thresholding, edge detection, regions split and merge and finally hybrid methods. Thresholding techniques comprise all the pixels with a threshold and identify those pixels within a range of specific areas. Selected th ...
... Pan [28] classified the segmentation methods in four groups including interactive thresholding, edge detection, regions split and merge and finally hybrid methods. Thresholding techniques comprise all the pixels with a threshold and identify those pixels within a range of specific areas. Selected th ...
DecisionFlow: Visual Analytics for High
... temporal event sequence data. These techniques typically begin by building an aggregate data structure that captures statistics (such as frequency and timing) for each of the various permutations of the event sequences found in the original data set. This structure is subsequently visualized, often ...
... temporal event sequence data. These techniques typically begin by building an aggregate data structure that captures statistics (such as frequency and timing) for each of the various permutations of the event sequences found in the original data set. This structure is subsequently visualized, often ...
Fig 2(d) - Academic Science,International Journal of Computer
... (AMBE - the absolute difference between input and output mean). An efficient recursive integer-based computation for AMBE has been formulated to facilitate real time implementation. Simulation results using sample image which represent images with very low, very high and medium mean brightness show ...
... (AMBE - the absolute difference between input and output mean). An efficient recursive integer-based computation for AMBE has been formulated to facilitate real time implementation. Simulation results using sample image which represent images with very low, very high and medium mean brightness show ...
Authenticity and integrity of digital mammography images
... as an image hash value which is then encrypted by using the mathematical techniques specified in public-key cryptography to produce a DS. Any party with access to the owner’s public key, image, and signature can verify the signature by the following procedure: first compute the image hash value with ...
... as an image hash value which is then encrypted by using the mathematical techniques specified in public-key cryptography to produce a DS. Any party with access to the owner’s public key, image, and signature can verify the signature by the following procedure: first compute the image hash value with ...
Poster Image Matching by Color Scheme and Layout
... information will affect the recall rate more while changing the weighting of layout information will affect the precision rate more. Based on the experiments results, we can also observe that background separation plays the most important role in the whole matching process. Without the background se ...
... information will affect the recall rate more while changing the weighting of layout information will affect the precision rate more. Based on the experiments results, we can also observe that background separation plays the most important role in the whole matching process. Without the background se ...
View - CIRS
... limits the size of an object that can be seen at the same level of contrast. This is further complicated by the ability to change the reconstruction filters on some systems which can have large effects on this relationship. It is beyond the scope of this protocol to perform tests that comprehensivel ...
... limits the size of an object that can be seen at the same level of contrast. This is further complicated by the ability to change the reconstruction filters on some systems which can have large effects on this relationship. It is beyond the scope of this protocol to perform tests that comprehensivel ...
MATLAB as a Tool in Nuclear Medicine Image Processing
... Fig. 1. A digital image is a 2D array of pixels. Each pixel is characterised by its (x, y) coordinates and its value. Digital images are characterised by matrix size, pixel depth and resolution. The matrix size is determined from the number of the columns (m) and the number of rows (n) of the image ...
... Fig. 1. A digital image is a 2D array of pixels. Each pixel is characterised by its (x, y) coordinates and its value. Digital images are characterised by matrix size, pixel depth and resolution. The matrix size is determined from the number of the columns (m) and the number of rows (n) of the image ...
optimizing medical image contrast, detail and noise in
... In the example shown here the contrast in the x-ray image delivered to the receptor extends over a relatively small segment of the full dynamic range. The important point is that the wide dynamic range does not cut off the contrast, as can happen with film. This provides good image data for processi ...
... In the example shown here the contrast in the x-ray image delivered to the receptor extends over a relatively small segment of the full dynamic range. The important point is that the wide dynamic range does not cut off the contrast, as can happen with film. This provides good image data for processi ...
Prefiltered Antialiased Lines Using Half
... For now, we’ll ignore pixels near line endpoints, and assume the filter intersects only one or both of the long edges of Ld. The orientation of the line has no effect upon its intersection volume with a circularly symmetrical filter—only the distance to the line matters. Gupta & Sproull [3] summariz ...
... For now, we’ll ignore pixels near line endpoints, and assume the filter intersects only one or both of the long edges of Ld. The orientation of the line has no effect upon its intersection volume with a circularly symmetrical filter—only the distance to the line matters. Gupta & Sproull [3] summariz ...
Effect of number of projections on image quality of local CT
... radiation as possible and limits the beam to the size of the detector. The CCD has 872 rows and 664 columns of pixels, the size of which is 39 mm by 39 mm. The CCD has 12-bit resolution (it can discern 4096 levels of radiation intensity). Using 12 bit data (instead of the more standard 8 bit) improv ...
... radiation as possible and limits the beam to the size of the detector. The CCD has 872 rows and 664 columns of pixels, the size of which is 39 mm by 39 mm. The CCD has 12-bit resolution (it can discern 4096 levels of radiation intensity). Using 12 bit data (instead of the more standard 8 bit) improv ...
Image Enhancement in the Spatial Domain
... neighborhood and move the centre of this area from pixel to pixel. • At each location, the histogram of the points in the neighborhood is computed and either a histogram equalization or histogram specification transformation function is obtained. • This function is used to map the gray level of the ...
... neighborhood and move the centre of this area from pixel to pixel. • At each location, the histogram of the points in the neighborhood is computed and either a histogram equalization or histogram specification transformation function is obtained. • This function is used to map the gray level of the ...
Edge detection
Edge detection is the name for a set of mathematical methods which aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The points at which image brightness changes sharply are typically organized into a set of curved line segments termed edges. The same problem of finding discontinuities in 1D signals is known as step detection and the problem of finding signal discontinuities over time is known as change detection. Edge detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction.