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bandaigangguangxuexitong
- 为满足钢板表面缺陷在线检测系统宽幅面、高速、高分辨率的检测要求, 优化设计了钢板表面缺陷视觉检测系统的 光学部分。采用了一种新型LED 线光源获得高强度均匀照明, 多线阵CCD 拼接成像完成幅面分割。明、暗域相结合的成像 模式确保了大部分缺陷的有效检出。综合考虑光源、镜头与线阵CCD 的影响, 计算并优化选取了光学镜头的焦距、f 数和视 场角等参数以满足检测需要, 整个光学系统设计满足在线检测需要并在样机中得以应用-To meet the steel surface defect o
AssignmentSubmission
- The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is
Various_EdgeDetection
- Edge detection refers to the process of identifying and locating sharp discontinuities in an image. The discontinuities are abrupt changes in pixel intensity which characterize boundaries of objects in a scene. Classical methods of edge detection inv
function5
- Step 1: Read Image The example reads in an intensity image. The deconvblind function can handle arrays of any dimension.
assign3_m100295cs
- a) On sample artificial, 8X8 / 16X16 images, take the DFT, DCT, WT, & HT. Print the image & transform matrix side by side b) Repeat the above on real images of size 256X256, and display the transform coefficients as 8-bit intensity images along
GrayMatrix
- 图像纹理特征描述了在图像中反复出现的局部模式和它们的排列规则，反应宏观意义上灰度变化的一些规律，编程实现基于灰度共生矩阵的图像纹理特征提取-Image texture features described in the repeated images of local models and their regular arrangement, the reaction intensity changes in the macro sense, some laws, programming, GL
digital-watermarking-algorithm
- 提出了一种鲁棒性数字水印算法。该算法中水印嵌入的位置和强度均与原始图像有关-A robust digital watermarking algorithm. The watermark embedding algorithm, the location and intensity of the original image on
Removing-Shadows-from-Images
- For this project, the shadow removal method used by Finlayson et al. in [1] was implemented. This report contains an overview of the mathematical background and a detailed discussion on the experiments performed with the implementation. This me
adaptiveclustering
- he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations
KMeans
- he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations
eight_rice
- VC编写的把一幅图按八个方向分别显示原图、色调、红、饱和、绿、强度、蓝、亮度成米字型布局。-Prepared by the VC to a picture show the original image by eight directions, colors, red, saturation, green, intensity, blue, brightness into rice shaped layout.
color
- 处理彩色图像，得到红，绿，蓝三个通道的效果， 并得到饱和度和亮度的图像，以及做伪彩色图像处理（分配不同的颜色 不同的灰色水平），还有边缘检测技术-Processing color images, get the red, green, and blue channels of the results, and get saturation and brightness of images, and do pseudo-color image processing (assigned a di
gamma_correction
- Gamma intensity correction is on of preprocessing technique in face recognition. Using Gamma intensity correction face images are preprocessed to normalize the lighting variation. The overall brightness of the image can be controlled by changing
stereo-matching
- 关于自适应窗口算法的描述，很详细，是最经典的自适应窗口算法，值得学习-We present a method to select an appropriate window by evaluating the local variation of the intensity and the disparity. We employ a statistical model of the disparity distribution within the window. This mod
hw1
- Abstract—Three-feature based automatic lane detection al- gorithm (TFALDA) is a new lane detection algorithm which is simple, robust, and efficient, thus suitable for real-time processing in cluttered road environments without a priori knowledg
dsxghfbp
- xlabel( Distance ) ylabel( Intensity ) title( line profile of a gray Image )
face_det
- Here is the face detection code of my FYP in BS. Face Detection and recognition processes heavily depends o how well the image is compensated for pose and illumination variations. Illumination variation due to light source at absolute position and in
STDM
- 在图像的DCT系数上嵌入信息，图像为常见的512*512大小的灰度图（实验所用图像为LENA.BMP）。嵌入的信息为一二进制Logo图（实验所用logo图为LOGO.bmp），该图大小为64*64，共4096个Bit。 1. 使用STDM方法在LENA图中嵌入水印，输出嵌入后的水印图像。 2. 对水印图像解码，输出解码后得到的logo图，并统计错误率。 3. 在相同的量化步长下，观察不同强度的噪声攻击下系统性能的变化 4. 在相同的量化步长下，观察不同强度的JPEG压缩下系统性能
CANNY
- CANNY EDGE DETECTION Canny edge detection 的步驟： 1. 將原始影像和高斯濾波器做摺積。 2. 利用一次微分的遮罩對影像每一個像素求得四個方向的邊線強度 3. 找出四個方向中的最大值作為目前像素的邊線強度。 4. 依據步驟 3 將梯度方向分成四個區域 5. 非最大值刪除：沿著梯度方向找出最大值，並將其保留，其餘均設為零。 6. 設定兩個閥值 low T 和 high T ，用 high T 挑選出最佳的邊線像素，再從
A-Comparison-of-SIFT-and-Harris-Conner-Features.r
- Abstract—This paper presents a comparative study of two competing features for the task of finding correspondence points in consecutive image frames. One is the Harris corner feature and the other is the SIFT feature. First, consecutive fram