GGiIŚ AGH

Gość

On 1 / f noise of the dynamic statistical theory

Appropriate relationship is logical that, without explanation; but also further confirms turned a view: in a sense, we can put the macro world of noise as the \5 Conclusion In \almost exactly. In this article, we will further push deeper level of this mechanism, the \We dare to speculate, \and astronomers this view attention. Finally, we believe, in a sense, noise is the macroscopic world of \References 【1】 Hideki Takayasu. Fractal dimension [M】. Beijing: Earthquake Press ,1994:63-65.1 [2] Xu Shenglong. Statistical theory of the dynamics noise 【J]. Infrared Technology, 2003,5: J63-67.1 【3】 Xusheng Long. Special noise explore 【J]. Acoustics ,1997,3:165-167. j [4] Zhu Xi Chen, Yao Ying. HgCdTe photoconductive detector of low frequency noise 【J]. ~ Z # t-study, 1989,8 (5) :375-380.1 [5] Yuming Kang, Liu Fu-sui. 【Metal -1 Noise Theory J]. Physics, 1983,32 J (5) :593-606 .1 [6] R. F. VossandJ. Clarke, 7itNoiseinMusicandJSpeech [J]. Nature ,1975,[link widoczny dla zalogowanych],258:311-318. (Continued from page 52) on the horizontal lines (with some curvature), coupled with the complexity of the environment, making the image pre-processing of edge detection methods can not detect the edge of a small segment of all windows, which will reduce accuracy of test results. Therefore, in line detection using Hough transform, before the pre-image is critical. 6 Conclusion on car windows image detection and extraction, on the theory and practice from the initial attempt. First Phase Group based on the use of the improved image blocks Hough transform to detect the window's upper and lower edge of the line segment, and so the level of interception of a car window with a part of it; and then use the principle of integral projection on both sides of the window edge line detected column coordinates, and so the interception of a window. Experiments show that the algorithm has high detection accuracy, a certain degree of practicality. References [1】 Holistic,[link widoczny dla zalogowanych], Xue-mode root. Image Block Based on Phase Classification fast Hough transform line detection 【J]. Computer Measurement & Control, 2005,13 (7) :647-649. [2] Sun Jinguang, Zhang Wenbin, Zhu Shian. Image processing method and implementation of gray 【J]. Liaoning Technical University (Natural Science), 2002,21 (3) :340-341. [3】 ZHu, WWang, a. ANewDefinitionoftheHoughTransform 【J]. JouralofComputSei & Techno1. , 1998,13 (5) :385-392. [4] 0Chutatape, LGut. AModifiedHoughTransformforLineDetectionandItsPerformance】【J. PatternRecognition ,1999,32:181-192. [5] Lu Huimin, Zhi-Qiang Zheng. A new line for the detection of the fast Hough transform 【J]. Computer Applications, 2005,25 (10) :2379-2380. f6] 6 Zhou Jun, SURVEYING, Wu Yundong. Grouping method based on edge detection line extraction 【J]. Institute of Surveying and Mapping, 2004,21 (3) :182-183. [7] Xiao-Hong Li. Based on integral projection of face image feature extraction 【J]. Computer Simulation, 2004,[link widoczny dla zalogowanych],21 (12) :189-191. 【8】【U.S.】 Gonzalez, et al. Digital Image Processing (MATLAB version) 【M】. Beijing: Electronic Industry Press, 2005. [9】 Luo Junhui,[link widoczny dla zalogowanych], Feng Ping,[link widoczny dla zalogowanych], Hali Dan. MATLAB7.0 in Image Processing 【M】. Beijing: Mechanical Industry Press, 2005.

相关的主题文章：

[link widoczny dla zalogowanych]

[link widoczny dla zalogowanych]

[link widoczny dla zalogowanych]