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Wysłany: Nie 12:06, 03 Kwi 2011 Temat postu: Image processing algorithm based on fuzzy new meth |
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Image processing algorithm based on fuzzy new method
Fuzzy rate d), the enhanced image fuzzy rate D), as processed by the fuzzy image enhancement algorithm reduces the blurring, contrast enhanced,[link widoczny dla zalogowanych], so that d (x) Hengda in D) 'we E (x) to represent the original circle and the enhanced image of the relative error) is, that enhanced the image under the premise of the enhanced image in the shape of the original image, the gray levels closer. )-D-(x) - D ~ (x) (】 5) with (】 5) standards of this decision, we in the image [0, £ a 1l take the gray-scale range of a £ a gray level threshold. And in accordance with ( the corresponding values were calculated, and finally using (15) calculated the respective x) value, the smallest x) corresponding to the gray level threshold is what we are looking for the best threshold gray Figure l shows. Figure l optimal threshold image fuzzy algorithm flow chart in Figure 2 46 * Fuzhou University (Natural Science) 26 4 Results and discussion paper integrated the enhancement algorithm, the resulting algorithm flow chart shown in Figure 2 . According to flow chart on the computer in general 486 Figure 3 (a) Ultrasound image of left ventricular shown for image enhancement, Figure 3fb) for the original image histogram. Figure 4 (a) Histogram for the use of multiple amendments and get a more clear and less distortion of the image, Figure 4 (b) the image histogram. Figure 5 (a) is treated with a fuzzy image, Figure 5 (b) the image histogram. It can be seen after treatment with the fuzzy algorithm has a higher resolution and image distortion is relatively small. From the histogram view, fuzzy image after gray level distribution in the visual sensitivity of its N (O-80) within the dressing method is more uniform than the histogram, Taiwan and management. Thus, with the proposed approach to image not only clear image, and less distortion, the effect is more ideal. (A) processed by the image histogram (b) processed by the image histogram histogram histogram method used in Figure 4 as amended by the image several times with straight sides ring (a) by the model the image of the algorithm h after a 5305580l05】 30l5j180205230255 (b) treated by the fuzzy image of the histogram in Figure 5 calculated by the fuzzy image of enamel after treatment with the histogram 4 Dan Jianghong: Based on the fuzzy algorithm Image processing method results show that 47.5 Conclusion. This article uses the image fuzzy enhancement algorithm is reasonable and effective. The generalized concept of fuzzy rate and associated processing algorithms that have better computer simulation of visual effects, but without setting the input parameters, calculation of simple, common good. Easy to implement.
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