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fayeboy1984
- 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分
chafen
- 四相位差分图像边缘检测算法.一篇介绍数字图像边缘检测的四相位差分图像边缘检测算法-Four-phase difference image edge detection algorithm. Introduced a digital image edge detection phase of the four sub-image edge detection algorithm
fulltext2
- 利用自适应网格和B样条差值法实现图像配准，全英文版-The use of adaptive grid and B-spline difference method to achieve image registration, full English
lianxushipinfengeyucaiji
- 用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现-Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the
fcmgray
- 灰度次序—差值法图象分形压缩编码 分形, 图象压缩, 四叉树法, 迭代函数系统-Gray order- the difference method of fractal image compression, fractal, image compression, quadtree method, iterated function system
Videoobjectdetectionbasedonbackgroundsubtraction.r
- 利用图像序列的灰度统计特性来提取背景图像，并利用Surendra背景更新算法根据每帧图像对背景进行更新已获得可靠的背景．然后，将当前帧与背景作差，并对差值图像进行适当处理，这样运动目标就能够被精确地提取出来． -Using statistical properties of image sequences to extract the gray background image and background updating algorithm based on the use Surend
Tube-(CAD)
- 论文主要为对像增强管空间电场分布的计算和一系列的分析，通过有限差分法计算相应电极周围的电位。（小学期论文，自主设计）-Paper for the electric field on the distribution of image intensifier tubes and a series of analysis of the calculation, the corresponding finite difference method around the electrode potent
nn
- 差分帧法的目标跟踪的主要思想是，将当前帧图像与前一帧图像做一个差分，对差分的图像取绝对值后进行二值化-The main idea is to target track of the difference frame method, the image of the current frame and a previous frame image to make a difference, taking the absolute value of the differential image af
MSE_PSNR
- 关于评价彩色图像质量的相关定义，如常用的MSE和PSNR，与灰度图像稍有区别，在图像的滤波、加密恢复等可以用得到。-Associated definitions on the evaluation of the color image quality, such as the commonly used MSE and PSNR slight difference with the grayscale image in the image filtering, encryption can be
mutual-information
- 红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得
cmos
- 相机中的图像处理算法，包括彩色差值，自动白平衡等-Camera image processing algorithms, including color difference, automatic white balance, etc.
cmosp2
- 图像处理中关于白平衡和彩色差值的一些算法优化和算法提升-White balance and color difference algorithm optimization and algorithms to enhance image processing
Image-segmentation-method
- 对图像分割方法进行描述，对各种分割方法进行总结讲解，讲解区别特点-Described method for image segmentation, segmentation methods to summarize the various explanations, to explain the difference between features
Image-Splicing
- Splicing operation may introduce inconsistencies in organized as follows. In Section 2, we introduce scene illumination estimation methods. In Section 3, the proposed method based on illumination inconsistency is introduced. Section 4 present
caiseshujuyincang
- 基于预测误差差值扩展的彩色图像无损数据隐藏，希望对大家有帮助-Prediction error difference expansion based color image lossless data hiding, we hope to help
Regional Cardiac Motion and Strain Estimation in Three-Dimensional Echocardiography: A Validation Study in Thick-Walled
- Automatic quantification of regional left ventricular deformation in volumetric ultrasound data remains challenging. Many methods have been proposed to extract myocardial motion, including techniques using block matching, phase-based correlation, dif
abb
- 对图像进行离散余弦变化处理，了解余弦变化系数以及余弦变化后回复图像与原图的区别-After the change of image processing discrete cosine understand cosine cosine coefficient of variation and difference with the original image Reply
ct
- 近年来比较新的压缩传感运用到CT重构，有TV加权，高阶TV等，效果都很好-A Novel Weighted Total Difference Based Image Reconstruction Algorithm for Few-View Computed Tomography
converting-image-to-greayscale
- Converting image to greyscale by showing pixel difference of two images along with Gaussian distribution and laplacian distribution
target-detectio
- 常见的目标检测方法主要有光流法，帧差法和背景模型法。光流法利用背景和运动目标的运动速度不同进行目标检测，计算量较大；帧差法对连续几帧图像的背景进行配准，通过前后帧的差分图像分离出运动物体；背景差法根据已知背景对图像进行差分，在运动背景下需要对背景模型进行更新。-Common target detection methods are mainly optical flow method, frame differential method and background model method.