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图像的增强,图像平滑,中值滤波,图像锐化,伪彩色和假彩色的增强-Image enhancement, image smoothing, median filtering, image sharpening, color and false color enhancement
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一种基于K均值聚类的彩色图像颜色增强方法,输入已知前景部分RGB值,代码将根据设定值对输入图像进行重新聚类,并进行灰度图像颜色增强,以利于后续二值化处理-K-means clustering-based color image color enhancement method, enter the known foreground RGB values , the code will re-clustering of the input image according
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图像处理实现图像的增强,反色,线性变化,对数变化-Image processing image enhancement, anti-color, linear change, logarithmic
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数字图像处理实验,伪彩色增强处理程序实例。-Digital image processing experiments, pseudo-color enhancement handler instance.
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该段程序,能够实现256色图像的各种处理功能,包括点处理,几何变换,图像增强等!-This section of the program, to achieve the 256-color images of the various processing functions, including the point of processing, geometric transformations, image enhancement
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伪彩色操作,实现更改调色板,用于遥感图象显示,红外图片增强.-Pseudo-color operation to change the color palette for the display of remote sensing images, the infrared image enhancement.
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它是遥感数据处理程序。可以实现图像增强,包括图像平滑、中值滤波、梯度锐化、拉普拉斯锐化、位彩色编码。-It is the procedure of dealing with the remote sensing data.We can make the image enhancement with it,including the image smooth,media filtering,sharping,Laplace sharping,false color coding.
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基于图象灰度变换、直方图均衡、伪彩色增强的增强算法-Based on the image gray level transformation, histogram equalization, pseudo-color enhancement of the enhancement algorithm
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伪彩色增强,黑白图像的各个不同灰度级按照线性或非线性的映射函数变换成不同的彩色,得到一幅彩色图像.-The pseudo-color enhancement, black and white images of various gray level in accordance with the linear or nonlinear mapping function to transform into a different color, get a color image.
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详细说明:
读入图像,对于图像进行高斯高通以及低通滤波,显示结果,与原图进行对比-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range c
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详细说明:
ch5_1_1: 图像灰度线性变换 (§5.1.1)
ch5_1_2: 图像灰度分段线性变换 (§ 5.1.1) ch5_1_3: 采用对数形式的变换函数进行动态范围压缩 (§5.1.1)
ch5_1_4: 图像直方图的均衡化 (§5.1.2) ch5_1_5: 直方图规定化 (§5.1.2)
ch5_2_1: 邻域平均的线性平滑滤波法实现降噪 (§5.2.2)
ch5_2_2: winner滤波法实现降噪 (§5.2.2) ch5_2_3: 中值滤
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这是一有彩色图像灰度化,二值化, 图像增强,图像分割的源码-This is a gray color image binarization, image enhancement, image segmentation source code
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本代码是基于VC6.0的图像增强代码,程序支持读入、显示各种类型的彩色、灰度图像,图像增强先做平滑滤波去除噪声,再采用拉普拉斯算子实现边缘检测,并附带图像灰度直方图的显示功能。-This code is based on image enhancement VC6.0 code, the program supports reading, showing all kinds of color, grayscale image, image enhancement do first smoothi
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数字图像处理和监督分类基本操作。包括点运算、几何变换、图像增强、频域滤波、彩色图像处理,形态学变换、图像分割、特征提取、识别初步等。- The basic operation of digital image processing and supervised classification. Including point arithmetic, geometric transformation, image enhancement, frequency domain filtering, co
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数字图像处理 伪彩色增强 将灰度值分别按照一定函数关系转换到RGB 空间中,形成彩色图像-Pseudo-color enhancement of digital image processing of the gray values were converted in accordance with certain functional relationship to the RGB color space to form a color image
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基于空间亮度变化图理论的彩色/灰度图像增强算法。-Brightness variations of graph theory-based space color/grayscale image enhancement algorithms.
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contrast enhancement algorithm based Gamma correction for COLOR image
1.RGB TO HSI
2.Gamma correction
3. HSI to rgb-contrast enhancement algorithm based Gamma correction for COLOR image
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vc++图形图像处理,图像增强(图像平滑、中值滤波,梯度、拉普锐化,位彩色编码)-vc++ graphic image processing, image enhancement (image smoothing, median filtering, gradient, Rapp sharpening bit color coding)
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常用图象滤波器的设计方法,实现一个通用的高通、低通滤波器函数,其中又分别实现理想、巴特沃思和高斯滤波形式,用实现的函数对图象进行高通处理,将所给图象增加噪声后再进行低通处理,处理后分别进行伪彩色增强-Top image filter design method, to achieve a common high-pass, low-pass filter function, which achieve the ideal, Butterworth and the form of Gaussian
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图像增强的方法有很多,包括空间域和频域的方法。该代码使用对比度增强技术、就增不均匀的照明,对多分辨率彩色图像进行增强-There are many methods of image enhancement, including space and frequency domains. The code uses contrast enhancement technology, growth uneven lighting, enhanced multi-resolution color imag
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