derivative-based edge detection
Medical Image Edge Detection Based on Soft Computing Approach
... [1]. Edge detection is a discontinuity based approach used for image ...image edge detection is an important work for object recognition of the human organs, and it is an essential ...
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A new construction of a fractional derivative mask for image edge analysis based on Riemann Liouville fractional derivative
... for edge detection, they still produce edges with some compromise in accuracy, completeness, complexity, connectedness, and ...mostly based on fractional calculus with improved characteristics over ...
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IMPACT OF EDGE DETECTION ALGORITHM IN IMAGE PROCESSING
... An edge operator is a neighborhood operation which determines the extent to which each pixel's neighborhood can be partitioned by a simple arc passing through the pixel where pixels in the neighborhood on one side ...
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Sobel Edge Detection using Parallel Architecture based on FPGA
... term edge is a collection of the pixels it refers to the part where the brightness of the image local area changes significantly or we can also say that edge in an image might for instance be the boundary ...
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Dynamic Thresholding Based Edge Detection
... for detection of edges or ...convolution derivative masks for edge detection morphological operations are used which are efficient, as they are applied on the complete image while convolu- tion ...
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Edge Detection of MRI Scan Neck Image Using Canny Edge Detection Algorithm Based on Density of Edge Length
... optimal edge detector based on a set of criteria which include finding the most edges by minimizing the error rate, marking edges as closely as possible to the actual edges to maximize localization, and ...
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Detection of Edge with the Aid of Mollification Based on Wavelets
... mollification based on wavelets to the calculation of the fractional derivative (fD) or the derivative of a function involving ...the detection of edge of a ...a detection of an ...
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A Quantitative Performance Analysis of Edge Detectors with Hybrid Edge Detector
... Laplacian based edge detector is based on the second order derivative approach and it typically behaves as high pass ...order derivative of the gray scale image intensity is calculated ...
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Fast Edge Detection Architecture using Different Levels of Parallelism on a FPGA
... first derivative edge detection by performing either Sobel or (and) Pre- wit or (and) Robert operation on a given ...proposed edge detection architecture is fast due to some design ...
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MSB based Cellular Automata for Edge Detection
... Edge extraction is a procedure to detect contour of objects by finding the discontinuities or change in brightness within an ...of edge detection. There are several mathematical methods for ...
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Comparative Analysis of EDGE detection using Fuzzy set theory and Automata Theory with existing edge detection methods with CLA
... A very important role is played in image analysis by what are termed feature points, pixels that are identified as having a special property. Feature points include edge pixels as determined by the well-known ...
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Loss of Excitation Detection in Doubly Fed Induction Generator by Voltage and Reactive Power Rate
... 1, based on the power factor and load level have been arranged in Table ...LOE detection would be tested, as well as the performance of the proposed solution for discrimination between LOE and SPS by means ...
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Watermarking with scene change detection
... divided into video sequence and then watermark is embedded to this video sequence. Video sequence is a collection of consecutive images which when moved at particular rate gives the impression of moving pictures to naked ...
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Gravitation-based edge detection for hyperspectral images
... gray-scale edge definition ...the edge magnitude and direction, is a widely used vector-based ...is based on the measure of the squared local contrast variation of multispectral ...Canny ...
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Sharp Operator Based Edge Detection
... to the data. The variance of evolving image decreases monotonically to zero in time. The contrast parameter λ allows to steer the edge preservation properties by distinguishing between important edges that should ...
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Face Detection using Color based Segmentation and Edge Detection
... face detection in ...the detection of frontal human faces, whereas this paper attempt to solve the more general and difficult problem of multi-view face ...Face detection involves many research ...
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An Edge Detection A lgorithm based on Fuzzy Logic
... existing edge detection algorithms and it was observed that the outputs of this algorithm provide much more distinct marked edges and thus have better visual appearance than the standard existing It can be ...
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1. Dental contour extraction & matching with label contouring using isef algorithm on dicom images for human identification
... single edge caused by noise usually creates a streaking problem that is very common in edge ...an edge detector is usually thresholded, to decide which edges are significant and streaking means the ...
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Crack Inpainting using Modified Cell growth in Damaged Grayscale Images
... This paper discusses an inpainting scheme for gray scale images. The scheme uses modified cell growth technique by which the damaged pixels are identified and then reconstructed by the mean of selected undamaged ...
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Efficient Case Study for Image Edge Gradient Based Detectors - Sobel, Robert Cross, Prewitt and Canny
... object. Edge detection on an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an ...implemented edge ...
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