Similar words: detection, collision detection, signal detection, store detective, police detective, private detective, wage determination, lie detector.
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31. Before adopting a fuzzy entropy similarity metric, edge detection, image segmentation and segmentation description are accomplished.
32. Secondly, for the image edge detection, methods including the gradient method, the sharp-processing method, and the Hough transformation were used, and the contour tracing was also conducted.
33. A new way based wavelet transform for edge detection of infrared airscape is proposed.
34. The edge detection is an important component of the image-processing for oleo contaminated particle. Its performance influences the precision and performance of detection system directly.
35. It presents a wide range of classical algorithms including image enhancement, image conversion, image edge detection, image restoration, etc.
36. Through edge detection of remote sensing, we could provide size and shape interpretable factors, and prepare for recognition.
37. This paper presents an adaptive exponential filter used for edge detection. It can be designed to eliminate the noise of image and obtain good precision of edge localization.
38. The subpixel edge detection algorithm based on surface fitting and gray moment is presented.
39. Menu with one of edge detection, coordinate, contour, etc. realize.
40. The technologies are emphasized, including image collection, preprocessing, edge detection and selection, calculating the dose of the point and drawing the isodose .
41. ICT cross-section scanned image processing, which mainly include image smoothing, image two-valued processing, edge detection and contour tracing.
42. First, these filters were used to achieve image smoothing and gradient calculation by the third-order recursive form, and then non-maximum suppression and dual-threshold edge detection were performed.
43. Assisted by the wavelet multi-analysis decomposing algorithm and Mahalanobis distance (MD), a coarse-to-fine edge detection algorithm was developed.
44. Secondly, seed pixel region growing is performed based on the hue similarity criterion and the results of edge detection.
45. As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.
46. The original gray level image was changed into the macroscopical drawing information by pre-processing, threshold selection, image bivalency, edge detection and contour extraction and segmentation.
47. By using this method consisting of directional edge detection, directional mathematical morphological method and mimesis watering corrosion method, a better close outside boundary was obtained.
48. This paper presents an algorithm to edge detection by scale multiplication based on Gaussian filter.
49. An edge detection Algorithm based on lifting wavelet and morphology was proposed.
50. A new unsupervised multiresolution edge detection technique was presented, which combines the morphological filtering,[sentence dictionary] pyramid data structure and fuzzy technique.
51. The simulation results show that the method is effective in edge detection.
52. Various algorithms of mathematical morphology are researched, they include hit or miss Transformation, edge detection and morphological grads, etc.
53. On the basis of expounding the basic principle using 2-D wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.
54. This method is an organic combo of edge detection, edge growing and region merging.
55. This paper suggests a new image edge detection method which is based on properties of prolate spheroidal function and performed with a special filter.
56. First, through edge detection and corresponding interlinkage processing, long boundary regions are extracted.
57. An image segmentation method based on edge detection and region growing is proposed in view of the features of IR image.
58. The label relaxation method for edge detection is described in the paper.
59. Two edge detection operators of second derivative model, the discrete Laplacian of Gaussian (DLOG) and Laplacian of binomial distribution (LOB) operators are introduced in this paper.
60. In the field of edge detection, the noise reducing and edge localization are contradictory parts and are regarded as an ill-posed problem.
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