1. A statistical approach of edge detection was presented.

2. Traditional algorithms of image edge detection were analyzed.

3. Abstract: Zero - crossing edge detection method was analyzed.

4. Distilling image character is based on image edge detection.

5. Both step edgedetection and ridge edge detection were discussed.

6. An improved multi - scale morphological edge detection algorithm is presented.

7. Edge detection is an indispensable step before image analysis and recognition, and is an important technology in the image preprocessing procedure.

8. Furthermore, the algorithms of image calibration and edge detection are discussed.

9. Objective: This paper introduces an edge detection method of blood cell image, which is based on (wavelet transform WT) and( laplace operator LO).

10. By adjusting coefficient difference based on edge detection in wavelet transformation domain, integrative optimization of watermarking imperceptibility and robustness is implemented.

11. Because edge detection reduces image dimensionality, the total iterative computation pixels are only 0.88 percent of that of the original algorithm.

12. Abstract An edge detection algorithm based on multi - scale morphology was presented.

13. Bar code recognition is a matter of edge detection, which has long been done through the maximum value of the first derivative or zero crossing of the second derivative.

14. We first aPply imagesegmentation and edge detection to the source mural image.

15. This paper puts forward a novel algorithm of edge detection based on Green function. And the exact differential operator is obtained after detail mathematic deducing and calculation.

16. In this paper we introduce an effective algorithm for the deblocking of the JPEG compressed images based on the denoising and edge detection in wavelet domain.

17. Non - tensor multivariate wavelets was wildly used in pattern recognition and texture analysis and edge detection.

18. A new set method for connection matrix is proposed. The edge detection algorithm based on ICM is introduced,[sentencedict .com] which identifies the sparking scope of neuron.

19. To make the image edge of multi-region segmentation more legible, a new multi-region segmentation algorithm, which combines edge detection with region splitting and merging, is presented.

20. A algorithm of image segmentation is proposed based on relative entropy selection thresholding and edge detection.

21. In this paper we present a hybrid parallel quantum evolutionary algorithm (PQEA) based on cost minimization technique for edge detection.

22. The code of the image filter processing, the code shows the three filter matrix, including the smoothing (low pass filter), image edge detection (high-pass filter) and so on.

23. At last, the application of the algorithm proposed to image edge detection and comparative experiments show that the algorithm have great ability of detection the fuzzy edge and exiguous edge.

24. With the view of the difficulty, an sub pixel edge detection method based on least square fit detecting is proposed.

25. The main idea of this algorithm is to find a threshold by using relative entropy, and then any edge detection is used to segment image.

26. On the basis of grey level nonlinear transformation and stepwise ratio, a new method of image edge detection was put forward.

27. All kind of methods which are widely used in image edge detection are presented by author. Multiwavelet transform as a new theory is pain lucubration.

28. The method first used medial filtering, automatic thresholding, mathematical morphology binary filtering, and cross templet edge detection to extract pixel-based boundaries.

29. First smoothing process was applied to the video images, and then the number of the oil holes in the appointed depths was calculated out by the edge detection of Gauss Laplace operator.

30. According to matching results, the matching recognition ratio of edge character images based on different edge detection methods is different.

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.

61. Figure 3 c shows 2 popular forms of an edge detection mask.

62. Contours are generated by an edge detection algorithm based on a user chosen pixel threshold.

63. The edge gradient and direction information are obtained by edge detection of remote sensing.

64. An image processing-based method is proposed to measure the repose angle by image sampling, region segmentation, edge detection and linear fitting.

65. Aiming at the shortcomings of traditional edge detection methods, considering the features of computer vision measurement, a practical contour extraction method is introduced.

65. is a online sentence dictionary, on which you can find good sentences for a large number of words.

66. From the experiments, we know if making use of the prior knowledge about edge character, we can process edge detection well.

67. The task of edge detection is to detect and locate the lighteness's discontinuity of an image, but the singularity of the noise makes it to be a ill-posed problem.

68. The above algorithm is applied to medical image edge detection finally.

69. The routine methods consist of the image enhancement, image edge detection.

70. The real-time signal processing system must have the ability of dealing with large amount of data when the edge detection algorithm is used in image processing.

71. This method greatly solves ex-segmentation problem and discontinuous edge when edge detection or region growing technique is adopted.

72. Firstly, isoperimetric algorithm is applied in still image segmentation, and the result is compared with two methods based on edge detection and region detection.

73. At present, the methods of edge detection of erythrocyte are using traditional theory such as edge one-order or second-order orient differential coefficient and using simple methods to detect edge.

74. In traffic peccancy detection and algorithm of background updating, we employ the vehicle detection technique based on morphological edge detection and background difference.

75. In this paper, a new edge detection method of speech signals based on the discrete wavelets datums multi-scale transform is presented.

76. Edge detection has decreased data amount by a large margin, got rid of the irrelevant information, reserved the important structure attribute of image, and established a basis for future work.

77. Fuzzy edge detection is affected by the choice of crossover point which two sides pixels of are contrasted.