histogram造句
31. The histogram algorithm is used to achieve the advantages of rotation invariance, position invariance and scale invariance.
32. In this paper , our image is successfully segmentedbased on a local histogram.
33. For example, one may need to generate samples drawn from a normally distributed population or may need to compute the standard deviation of a large data set or plot a histogram.
34. In performance, the algorithm is better than traditional histogram equalization method, unsharp mask method and enhancing method based on discrete orthogonal wavelet transform.
35. The model types include frequency histogram, cumulative frequency distributing graph and theoretical model with double logarithmic coordinates.
36. Second, we get the two dimension color histogram from the vehicle image.
37. MACD - Histogram helps you bet on the winning party and sell short the opposition.
38. With the fundamentals of the gray-level histogram and MATLAB package, the camouflage materials effectiveness assessment model and the painting pattern color design model are presented.
39. The paper introduces mainly the hardware and establishment of histogram modification and its scheme, and realizes the enhancement of motionless video images in coal mine by programs with C language.
40. The method trainings in the teaching materials infiltrated into the various activities could be described on scatter diagram, the number proportion of activities could be described on histogram.
40.try its best to gather and build good sentences.
41. Histogram equalization is classical approach of image enhancement. But we usually equipoise the whole image one time, that will bring on insufficiency on the minutia part's enhancement.
42. By extracting encrustation of histogram, and calculating partial fuzzy extent around pixels to update the fuzzy roughness.
43. This procedure realize the function of image enhancement using histogram equalization method to achieve image enhancement.
44. To prevent the overflow and underflow problem, histogram modification is used.
45. Additionally, an image with a histogram that has pixels maxing out the left end will have a loss of detail in the dark areas.
46. The region histogram equalization is different from traditional histogram modification technology, the idea is based on human vision character and edge effect in image vision.
47. A novel reversible binary image data hiding scheme using Run - Length ( RL ) histogram modification was presented.
48. The presented algorithm is compared with other existing contrast enhancement techniques - histogram equalization and morphological enhancement.
49. Histogram can also be used in spatiotemporal query optimization after some improvements.
50. A segmentation algorithm based on histogram analysis and region growing method was proposed for the CT images of plant root in this paper.
51. Another way of presenting these data is by a histogram or frequency distribution.
52. The apparatus can accurately test the characteristic curve of the warp let-off motion during weaving and calculate the warp let-off value and the histogram per pick.
53. Notice the odd roughness of the dense histogram in the region around 7-12 degrees, with both very high frequency of some measurements and unexpectedly low frequencies of others.
54. A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
55. First, the optimal neighbor size is automatically chosen using histogram similarity between the texture image and its subimage, then a threshold is introduced to accelerate texture synthesis.
56. It has been shown that the homomorphic filtering technique and histogram equalization after filtering produced a very effective result.
57. The Sequence Difference Histogram ( SDIF ) algorithm is suggested in the seeker processor.
58. In this paper, some applications of the information criterion in medical research, containing histogram analysis models, contingency table analysis models and autoregressive models, are discussed.
59. Extract 21-dimensional statistical characteristics of histogram characteristic function (HCF) field, training classifier with the support vector machine (SVM).
60. In rough-set theoretic sense, the histogram correlates with the lower approximation and encrustation of histogram correlates with upper approximation.
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