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From the image, the image filtering to remove nois
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Application background One goal in image restoration is to remove the noise from the image in such a way that the "original" image is discernible. Of course, "noise" is in the eye of the beholder; removing the "noise" from a Jackson Pollack painting would considerably reduce its value. Nonetheless, one approach is to decide that features that exist on a very small scale in the image are noise, and that removing these while maintaining larger features might help "clean things up".
One well-traveled approach is to smooth the image. The simplest such version is replace each pixel it by the average of the neighboring pixel values. If we do this a few times we get the image in the middle above; if we do it many times, we get the image on the right. Key Technology The algorithm treats an image as an array of pixel values, and, tracks the evolution of iso-intensity contours using a level set method. The key i
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finger print minuate extraction
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this code is used extract the exact features of finger print. from this code we can get the bifurcation and termination of ridges with this we can use this for authentication purpose.
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eye ball tracing matlab
4.0
This code is used to track eye ball movement by driving fatigue and sleepiness detection eye tracker to make use of dynamic training strategy with unsupervised clustering stage for binary classifier to effectively track students (eyeballs) in real time. The dynamic training strategy makes the algorithm subject (horn) and lighting conditions unchanged. Our algorithm does not assume that the camera is based on the position of the speaker's face in number theory, nor is it the natural 'motion of the speaker in the camera's field of view that it will not limit.
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face detection using skin color
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In this program RGB image is converted to L*a*b color space.Green & purple mode of this color space are chosen & then convert them into binary.AND operation is performed on the images so a matrix is obtained having 1 & 0.One(1) indicate the presence of face.
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Point Pattern Matching Algorithm for Hand Gesture
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his program recognizes ASL input(query) images by comparing it with the database images and outputs the equivalent ASCII representation of it. The details are given inside the zip file on separate explanatory algorithm diagrams and every .m file is documented in detail. Open the 'Readme.txt' in order to learn how to execute t
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Automated car parking system
4.1
Main aim of the project is to provide the information on the availability of parking in multiplexes without any operator in parking area by displaying availability of the parking before entering in to parking area. A display is provided at the entrance of the parking area which displays the number of slots available for parking.
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optical disk detection
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Use this code to find blood vessels and discs in the retina image.An The effective detection of optic disc in color retinal image is the basic step in automatic retinal image analysis system. This paper presents a new method for automatic location and accurate boundary detection of optic disc. The iterative threshold method, followed by connective component analysis, was used to locate the center of the optic disc. Then, the geometric model is applied to discover the exact boundary of the optic disc based on the hidden active contour model. The method evaluates 148 retinal images on a carefully selected database and compares with human experts. The accuracy of optic disc positioning is 99.3%. The sensitivity and specificity of mean ± SD in boundary detection were 90.67 ± 5 and 94.06 ± 5 respectively.
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