logoxgvb
Joined: 30 Aug 2010
Posts: 1580
Read: 0 topics
Warns: 0/5
Location: hdfttv
|
 Posted: Sun 20:53, 12 Dec 2010 Post subject: ugg italia Image fusion technology in automated me |
|
|
Image fusion technology in automated measurement
The beginning of the image. A = Wl × max (A1, A2) + w2 × min (A1, A2) in which W1 + W2: 1 and Wz and W2 are positive numbers mean square error MSE, the fused image and standard image of the mean square error, defined as the integration of image and the error between the global clear images. Once MSE = (ΣΣ (G, (i,) a (,)))/( M × N) where M, N is the number of fusion the ranks of image matrix. Through several experiments to determine the most hours in the MSE values of W1 and W2. 2 Experimental results and analysis of a single camera is often the case when the camera is due to uneven illumination,[link widoczny dla zalogowanych], the location is not precise alignment, resulting in blurred images of a partial identification. Dual cameras cameras are focused around two different images, the fusion can be a complete focus on a clear part of a more clear picture,[link widoczny dla zalogowanych], so as to effectively avoid the disadvantage of a single camera. In the experiment, we use two cameras camera, the image denoising from registration,[link widoczny dla zalogowanych], then the necessary processing them to simulate the harsh light, position and other conditions coarse alignment,[link widoczny dla zalogowanych], and fusion, the results shown in Figure 1 instructions. Clearly the fused image is better than on the clarity of the image before fusion, in particular the concentration of the fused image of two images clearly part of the elimination of the fuzzy part, pointers and other important details more clearly, which is based on wavelet transform image fusion outstanding advantages. Fused image has good definition, which identify the next step and create the favorable conditions. ■ ● before a fusion before fusion image 1 image 2 image fusion results in Figure 1 during the experiment operator by changing the weighted values of W1 and W2 (sampling interval of 0.1) by multiple fusion images, these images and a standard to compare the original image obtained clearly mean square error MSE, experimental values shown in Table 1. As can be seen from the table in this experiment the most effective operator for the W-weighted】 = 1.0, W2 = 0.0. Experiments show that the integration of different weighted image of its most effective operator is different. The strong real-time measurement system, it is impossible to determine the most effective weighted real-time operator, but the fusion algorithm is applied to the table 1W2Wl MSE MSE0.01.01.9096e +0030.10.92.1191 e +0030.20. 82.3464e +0030.30.72.5914 e +0030.40.62.8541 e +0030.50.53.1346 e +0030.60.43.4329 e +0030.70.33.7489 e +0030.80.24. 0827e +0030.90.14.4342 e +0031.00.04.8035 e +003 measuring system than the single image content (mainly instrumented screen), with a certain approximation. This paper selects 10 kinds of instructions form a representative experiment repeated the above test results show that each experiment to find the most effective weighted operators are W1 = 1.0, W2 = 0.0, so this measurement system for the calculation of the weighted value has some applicability child can be weighted as the system operator the most efficient, low-frequency information that is used factor of great principle. 3 Conclusion This paper focuses on image fusion based on wavelet transform application of technology in automated measurement of the purpose and specific algorithms. Verified by experiment the role of this technology to find a pair of measurement methods for the most effective weighted operator. Software are used in the experiments with the Matlab programming language programming. References [1] Qin Qing,[link widoczny dla zalogowanych], YANG Zong-kai. Practical wavelet analysis. Xidian University Press. 1994.65-78. [2] Jian-social. Wavelet analysis and its application cases of election. Modern Press ,1998.225-227. [3] Fei Sike Technology R & D center. Wavelet analysis and application of auxiliary MATLAB6.5. Electronic Industry Press. 2003.202-208. [4] KennethR, Castleman. Digital image processing. Electronic Industry Press. 1998. [5] Li, Q. Xinmin, Li. Microstructure image of the data fusion algorithm. Sichuan University (Natural Science), 2002,39 (2). [6] HannaPohjonen, Imagefusioninoperl-architecturePACenviron-ment [J]. ComputerMethodsandprogramsinBiomedicine66 (2001) 69-74. Salt divination QQ!
相关的主题文章：
[link widoczny dla zalogowanych]
[link widoczny dla zalogowanych]
[link widoczny dla zalogowanych]
The post has been approved 0 times
|
|
