Simple-Image-Processing-System.rar - 1、能对图像文件（bmp、 jpg、 tiff、 gif等）进行打开、保存、另存、打印、退出等功能操作；
2、数字图像的统计信息功能：包括直方图的统计及绘制、区域图的面积、周长的统计、线条图中的距离测量等；
3、数字图像的增强处理功能：
（1）空域中的点运算、直方图的均衡化、各种空间域平滑算法（如局部平滑滤波法、中值滤波等）、锐化算法（如梯度锐化法、高通滤波等）
（2）频域的各种增强方法：频域平滑、频域锐化、低通滤波、同态滤波等。
（3）色彩增强：伪彩色增强、真彩色增强等
4、图像分割：
（1）点、线（hough变换检测直线）、及边缘检测（梯度算子、拉普拉斯算子等）；
（2）区域分割包括阈值分割、区域生长、分裂合并等；
5、数字图像的变换：普通傅立叶变换(ft)与逆变换（ift）、快速傅立叶变换（fft）与逆变换(ifft)、离散余弦变换（DCT），小波变换等。
matlab fusion images.zip - we propose a method named region mosaicking on Laplacian pyramids (RMLP) to fuse multi-focus
images that are captured by microscope. First, we apply the sum-modified Laplacian to measure the focus of
multi-focus images. Then the density-based region growing algorithm is utilized to segment the focused region
mask of each image. Finally, the mask is decomposed into a mask pyramid to supervise region mosaicking on
Multifocus-Image-Fusion-Based-on-NSCT.rar - Abstract—To overcome the difficulties of sub-band coefficients
selection in multiscale transform domain-based image fusion
and solve the problem of block effects suffered by spatial
domain-based image fusion, this paper presents a novel hybrid
multifocus image fusion method. First, the source multifocus
images are decomposed using the nonsubsampled contourlet
transform (NSCT). The low-frequency sub-band coefficients are
fused by the sum-modified-Laplacian-based local visual contrast,
whereas the high-frequency sub-band coefficients are fused by
the local Log-Gabor energy. The initial fused image is subsequently
reconstructed based on the inverse NSCT with the fused
coefficients. Second, after analyzing the similarity between the
previous fused image and the source images, the initial focus
area detection map is obtained, which is used for achieving the
decision map obtained by employing a mathematical morphology
postprocessing technique. Finally, based on the decision
histo.rar - 直方图及直方图均衡化，用来增加许多图像的局部对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好地在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。
estimate-the-defocus-map-in-an-image.rar - 估计是有用的图像散焦几个应用程序 包括去模糊,模糊放大,测量图像 质量和景深分割。在本文中,我们 现在一个简单而有效的方法来评估一个分散注意力 模糊映射关系为依托的对比 图像梯度在当地的图像区域。我们把这种关系 当地的对比之前。我们的方法的优势 是,它不需要过滤银行或频率分解 输入图像 相反,我们只需要比较 当地的梯度概要文件与当地的对比。我们讨论 背后的想法之前,展示其局部对比度 在各种各样的实验效果
yaogan.rar - 对一副图像，计算其对比度和相关性这两个纹理指标
Tamura.zip - Tamura纹理图像的MATLAB实现，粗糙度、对比度、方向度、线性度、规则度以及粗略度
duibidu.rar - 图像处理中计算图像对比度matlab程序
tuxiangshibie.zip - 在对图像进行识别是需要对图像的对比度进行判断，此代码作用为可以算出图像的对比度
medical-image-fusion.rar - medical image fusion usin IHS
svm.rar - Multimodal medical image fusion, as a powerful tool
for the clinical applications, has developed with the advent of various imaging modalities in medical imaging.
spectral-method.rar - This source code is for image fusion developed in matlab gui.. this code works for spectral method. In which all types of images can be worked for.. medical image or any geographical images.. fusing the image is the most required source code today.
pca.rar - PCA gui code for Image Fusion. Which uses the PCA technique for fusing the images which can be any medical image or geographic image. in this code eign values are been calculated and then merge accordingly.. this code is written as gui code so better for gui code searchers
Breast-Cancer-Diagnosis-via-Linear-Programming.ra - medical image fusion in breast cancer.
breast-cancer-imaging-with-a-variabel-field-of-vi - Medical Image Fusion in breast cancer.
Fusion000.rar - Medical Image Fusion based on Wavelet Transform
Synthesis-Lectures-on-Image--Video.rar - The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimensional biomedical data into meaningful
regions is perhaps the main roadblock in the automation of biomedical image analysis. Whether the modality of choice is MRI, PET, ultrasound, SPECT, CT, or one of a myriad of microscopy platforms, image segmentation is a vital step in analyzing the constituent biological or medical tar
PARALLEL-BEAM-TOMOGRAPHIC-IMAGE-RECONSTRUCTION.ra - PARALLEL-BEAM TOMOGRAPHIC IMAGE RECONSTRUCTION
This projects reproduces results of procedures regarding CT Image Reconstruction. The application will applied to computed tomography single photon emission (SPECT) data . In particular, the following steps-commands are used : reading / presenting two-dimensional sectional image data using function normalization volume [0,1] output intersection projections (imitonogramma - transformation radon 360 angles) using linear (linear) interpolation , projection filter (filter setting a cut-off frequency of the filter 90 of the maximum frequency), and the end use of iradon function for reconstruction. The results in the reconstructed images are compared on the basis of specific data line (improfile)
ARTCode.rar - This code is as per SPECT reconstruction By: Martin Š ámal Charles @ Regional
Training Workshop on Advanced Image Processing of SPECT Studies 19-23 April 2004.
The principle of the iterative algorithms is to reconstruct an image of a tomographic slice projections by successive
estimates. The projections corresponding to the current estimate are compared with
the measured projections. The result of the comparison is used to modify the current
estimate, thereby creating a new estimate.
The algorithms differ in the way the measured and estimated projections are compared and the kind of correction applied to the current estimate. The process is initiated by arbitrarily creating a first estimate - for example, a uniform image (all pixels equal zero, one, or a mean pixel value,…). Corrections are carried out either as addition of differences or multiplication by quotients between measured and
estimated projections.
matlab-code-for-image-fusion-using-maximum-method - this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.