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数字图像处理的几个程序例子
- 这是几个数字图像处理的程序实例，有经典的傅立叶变换和反变换、图像增强（中值滤波、增强光照）还有染色体计数。它们都是经典算法的实现。-Here are several digital image processing examples including classical Fourier transform and its inverse, image enhancement (like median filtering, intensity enhancement) and chromosom
delphi灰度直方图
- 直方图是反映一幅图像中的灰度级与出现这种灰度的概率之间的关系图。-histogram is reflected image of a gray scale and intensity of this relationship between the probability map.
PixelProfile
- 一個可擷取出 Image 中的 Pixel Slice 並顯示出 Pixel Value/Linear Distance 的直方圖, 包含 Red, Green, Blue, Intensity, Hue, Saturation 等資訊顯示, 並有資料分析.-can have just one of Pixel Image Slice showed Pixel Value / Linear Distance histogram contains Red, Green, Blue, Intensi
ThresholdTrans55556231
- 该函数用来对图像进行阈值变换。对于灰度值小于阈值的象素直接设置 灰度值为0；灰度值大于阈值的象素直接设置为2-the function used to image transform threshold. For gray value less than the threshold value of the pixel intensity value directly set to 0; Gray value greater than the threshold value of the p
511
- 矩阵中的每一个元素称为像元、像素或图像元素。而g(i, j)代表(i, j)点的灰度值，即亮度值。 由于g (i, j)代表该点图像的光强度（亮度），而光是能量的一种形式，故g (i, j)必须大于零，且为有限值，即： 0＜=g (i, j)＜2n。 用g (i, j)的数值来表示(i, j)位置点上灰度级值的大小，即只反映了黑白灰度的关系。 数字化采样一般是按正方形点阵取样的， -each of the matrix elements known as a pixel, pixe
611
- 矩阵中的每一个元素称为像元、像素或图像元素。而g(i, j)代表(i, j)点的灰度值，即亮度值。 由于g (i, j)代表该点图像的光强度（亮度），而光是能量的一种形式，故g (i, j)必须大于零，且为有限值，即： 0＜=g (i, j)＜2n。 用g (i, j)的数值来表示(i, j)位置点上灰度级值的大小，即只反映了黑白灰度的关系。 数字化采样一般是按正方形点阵取样的， -each of the matrix elements known as a pixel, pixe
Kmeans.Cluster.using.Guide
- 图像集群（Image Clustering） (1)图像读入，显示图像所在路径； (2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群； (3)运行后，在原图像上显示集群灰度图； (4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) re
waveletharrsoft
- 小波软阈值去噪soft harr.rar 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。-wavelet soft thresholding soft harr.rar file directory as the working directory. wavlet.fig then open
5961138972006928223402599535
- 小波软阈值去噪soft harr.rar 小波软阈值去噪soft harr.rar 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件。-wavelet soft thresholding wavelet soft harr.rar soft thresholding soft harr.r ar
Guided-image-filter-kaiming-He
- The guided filter can be used as an edge-preserving smoothing operator like the popular bilateral filter, but has better behaviors near edges. The guided filter is also a more generic concept beyond smoothing: it can transfer the structures of the gu
Graphics-and-Image-Processing
- 包括图像编辑（图像缩放，图像旋转，图像裁剪，纹理映射），图像分析（像素选择，强度描述，图像轮廓，绘制直方图），图像调整（直方图均衡化，阈值化，灰度变换），图像平滑（加噪，中通滤波，低通滤波，图像复原），图像锐化（采用Sobel算子，拉式算法，空域高通滤波，频域高通滤波，梯度法），图像高级处理（边缘检测，图像分割），小波分解（一次小波分解，两次小波分解，第一层小波重构）和图像彩色增强（假彩色增强）的GUI图形图像处理。-Including image editing (image scaling,
imageIntensityValue
- java代码，用于实现显图片的强度值，强度频率最高值的功能-Java code function, image intensity values for achieving significant, the intensity of the highest frequency value
intensity
- 该程序实现对图像进行亮度调整，用户可以自动选择调整系数。-The program to achieve image brightness adjustment, the user can automatically the adjustment factor.
picture_process
- 对图像进行均衡处理的代码实现。能够对图像灰度值进行分析处理，得到图像灰度直方图，滤除两边的频率分量，保留中间的频率。-Code image equalization process implemented. Possible image intensity analysis processing to obtain an image histogram, filter out frequency components on both sides, to retain the intermedia
Imaentatioessfmentatio
- Image segmentation is an important processing in many applications such as image retrieval and computer vision. One of the most successful models for image segmentation is the level set methods which are based on local context. The methods, though c
Tper prentod
- This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD) wi
imageEnhancement
- 用于图像增强，在亮度和去噪方面，更适用于学生实验，验证等(this file contains two parts: the original images and the codes. this code is for image enhancement. To enhance images by improving the intensity and denoising)
onaatiohan
- By using the local regional information which has the ability to enhance the image, an improved active contour model based on level set method is proposed. Defining a novel SPF function with a nonnegative kernel function and local intensity cluste
cvpr16_deblur_study-master
- 文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_t
text_deblurring_code
- Matlab code for "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior"； demo_text_deblurring 是主函数(refer to Deblurring Text Images via L0-Regularized Intensity and Gradient Prior)