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The edge detection of rice image based on mathematical morphology and wavelet packet

机译:基于数学形态学和小波包的米图像边缘检测

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In accordance with the characteristics of the paddy images, this article designs a rice image acquisition device which consisted of one low-cost CCD sensor camera, two LED lamps, a detection box, a test-bed, and a PC computer. The device was designed to work to facilitate the study of image processing algorithms. Firstly, the algorithm of wavelet packet and mathematical morphology in the method is taken to smooth the interferences of surface scratches and glistens effectively. Secondly, the processed image is detected the image edge with Canny operator. In this paper, we used three algorithms of edge detection including: morphological edge detection, wavelet packet edge detection, edge detection combining morphological and wavelet packet. Experiments show that the edge detection combining morphological and wavelet packet can denoise and protect images has good practicality for its relatively high measurement precision, which are of great value towards the engineering practice.
机译:根据稻田图像的特性,本文设计了由一个低成本CCD传感器相机,两个LED灯,检测盒,测试床和PC计算机组成的米图像采集装置。该设备旨在用于促进​​图像处理算法的研究。首先,采用该方法中的小波包和数学形态学的算法,以平滑表面划痕的干扰和有效闪闪发光。其次,将处理过的图像与Canny Operator检测到图像边缘。在本文中,我们使用了三种边缘检测算法,包括:形态边缘检测,小波包边缘检测,边缘检测结合形态和小波包。实验表明,相结合的边缘检测形态和小波包可以去噪和保护图像对其相对高的测量精度具有良好的实用性,这对工程实践具有很大的价值。

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