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首页> 外文期刊>WSEAS Transactions on Signal Processing >Implementation of Discrete Wavelet Transform on Movement Images and Recognition by Artificial Neural Network Algorithm
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Implementation of Discrete Wavelet Transform on Movement Images and Recognition by Artificial Neural Network Algorithm

机译：人工神经网络算法运行图像和识别离散小波变换的实现

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In this paper presented the implementation of discrete wavelet transforms (DWT) on movement image data in CCTV recordings using. Movement image on CCTV recordings is taken using background subtraction technique. Implementation of DWT on data is aimed to obtain a smaller amount of image data but not eliminating the characters of the original image characters. The application of discrete wavelet transforms is performed by filtering technique using impulse wavelet Daubechies order 4 (Db4). From the test conducted, on the first level decomposition, the data size reduction is 49.99% with the change in parameters average value of pixel is 1.19% and pixel pattern change 1.93%. In second level, the data size reduction is 24.99% with the change in parameters average value of pixel is 1.62% and pixel pattern change 2.46%. In Third level, the data size reduction is 12.48% with the change in parameters average value of pixel is 2.32% and pixel pattern change 3.84%. In fourth level, the data size reduction is 6.22% with the change in parameters average value of pixel is 2.31% and pixel pattern change 4.57% from the pattern of original image. From these results it can be concluded that wavelet transformation can be used to minimize the amount of image data without loss the characteristics of its original. In testing MLP classification by Weka 3.8, by using training set, 100% correctly classified.
机译：本文介绍了在CCTV录像中的移动图像数据中的离散小波变换（DWT）的实现。 CCTV录像上的移动图像采用背景减法技术拍摄。 DWT在数据上的实现旨在获得较少量的图像数据，但不会消除原始图像字符的字符。通过使用脉冲小波Daubechies阶4（DB4）的滤波技术来执行离散小波变换的应用。从进行的测试，在第一级分解上，减少数据尺寸为49.99％，参数的变化平均值为1.19％，像素模式发生变化1.93％。在二级中，减少数据尺寸为24.99％，参数的变化平均值为1.62％，像素模式发生变化2.46％。在第三级，数据尺寸减小为12.48％，参数的变化平均值为2.32％，像素模式发生变化3.84％。在第四个级别中，数据尺寸减小为6.22％，参数的变化平均值像素的平均值为2.31％，像素模式从原始图像的图案变化4.57％。从这些结果可以得出结论，小波变换可用于最小化图像数据量而不会损失其原件的特性。在通过使用培训集的Weka 3.8测试MLP分类时，100％正确分类。

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