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matlab 图像处理程序 初学者面积计算练习(Image area calculation )

The report on "AUTHENTICATION SYSTEM OF PRINTED DOCUMENT USING WATERMARKING TECHNIGUE " This project is done to propose a method for offline watermarking in printed documents.

说明：  三电平逆变器模型,基于空间矢量算法，信号源为恒定三相交流信号经旋转变化得到控制脉冲信号(three level invetrer model)

说明：  一个协作系统的设计，对初级学生很有帮助。主要包括协作系统的各种参数。(A collaborative system design, useful for primary students. Includes various parameters of collaboration systems.)

实现霍夫变换的功能程序， function [rodetect,tetadetect,Accumulator] = houghtrans(imb,rostep,tetastep,thresh)(function [rodetect,tetadetect,Accumulator] = houghtrans(imb,rostep,tetastep,thresh))

利用pcnn，每当有一批像素对应的神经元点火，对像素值进行一次修正。第n次点火的所有神经元用矩阵B（n）表示， 已经点火的像素位置标记为‘1’，未点火的标记为‘0’。通过一个3*3的模板滑过B（n），判断若模板内的值全为‘1’或全为‘0’， 则这些像素值不进行处理，否则若模板中心的值为‘1’，则增加该位置的像素值的大小，中心值为‘0’，则减小像素值。该功能由xiugai(B,K)函数实现 Beta取负值来抑制周围的神经元点火，因为输入pcnn（X）的是模糊图像，抑制之后使处理的像素值更加接近原图像的像素值（抑制参数通过试验确定，并不精确） 总之运行结果只是对像素值变化较大的边缘区域进行了像素值的修正。 通过不断调整参数使峰值信噪比有所升高，但是升高得不是太多(Use pcnn, whenever a group of pixels corresponding to the firing of neurons, a correction value for the pixel. Ignition of all the n-th neuron matrix B (n) represents, Already ignition pixel position labeled 1 , unfired labeled 0 . By a 3* 3 templates over the B (n), determines if the value within the template are all 1 or all 0 , These pixel values are not processed, otherwise the value if the template center 1 , then the increase in the size of the pixel values of the position, the center value of 0 , the pixel value is reduced. This function is implemented by xiugai (B, K) function Beta is a negative value around the element to inhibit neuronal firing, because the input pcnn (X) is a blurred image, the pixel values of inhibition after treatment of the pixel value closer to an original image (suppression parameter determined by experiment, is not exact) Results only in short run large changes in the edge region of the pixel values of the corrected pixel values. )

preservation of fine details in the images

THIS FILE HAS THE PARAMETRIC VARIATIONS OF AN LTE SYSTEM MODELED IN MATLAB.

数字图像处理空间维纳滤波LSWF模型MATLAB代码(Digital image processing space Wiener filter LSWF model MATLAB code)

说明：  从图像经灰度级压缩，计算灰度共生矩阵，提取纹理特征参数，包括有能量，熵，惯性矩，对比度，相关度。算法包含有matlab封装函数计算方式，以及自行变成计算方式，两种纹理特征提取算法。(Gray level compression is used to calculate gray level co-occurrence matrix and extract texture feature parameters, including energy, entropy, moment of inertia, contrast and correlation. The algorithm includes two kinds of texture feature extraction algorithms: matlab encapsulation function calculation method and self-transformation calculation method.)