搜索资源列表
RplColor
- When I wrote this function my problem was to replace one color by an other on transparent bitmaps. My images were resources bitmaps, which I store in an ImageList for easy transparency. There is no easy way to directly access a Bitmap s pixel o
Douglas-PeuckerLineApproximationAlgorithm
- When working with mathematical simulations or engineering problems, it is not unusual to handle curves that contains thousands of points. Usually, displaying all the points is not useful, a number of them will be rendered on the same pixel since the
fastvalue
- 一种基于图像像素分类的快速计算图像清晰度评价值函数。-Pixel classification based on image sharpness of the image evaluation value fast computing functions.
fractalsSSE_src
- Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by evaluating these formu
avicap
- Purpose: --- -- This component is used for capturing staff from AVI to BMP. Installation: ------------- Extract the compiled units into your Lib directory or into another directory that is listed in the Library path in your
fractalsSSE__dsthbsrc
- You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by evaluating these formulas and finding the color of each pi
PoissonNeumann
- C Implementation of 2D Poisson Solver using Neumann Boundary Conditions: Based on a direct analytical solution using sine transforms Single iteration, no magic numbers, no convergence issues. Extremely fast, couple of seconds for 1M pixel image-C Imp
Block-matching(Matlab)
- 用块匹配法求超分辨率复原中的运动矩阵!提出了一种快速，半像素的三步法！-Block-matching method using super-resolution recovery of movement in the matrix! Presents a fast, three-step half-pixel!
aybook.cn_opeigdprogrma0630
- OpenGL编程指南第六版 ,英文电子书pdf格式-he OpenGL? Programming Guide, Sixth Edition, provides definitive and comprehensive information on OpenGL and the OpenGL Utility Library. The previous edition covered OpenGL through Version 2.0. This sixth edition of the best
2005.SPIE.FPPI[1]
- Fast Implementation of Pixel Purity Index Algorithm
Fast-Image-Segmentation
- 立体视觉Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.-Gaussian Super-pixel Based Fast Image Segmentation Using Graph Cuts.
NCC-fast-image-match-suanfa
- 在图形中提取图像中的角点，为了提高精度进行亚像素检测并进行图像匹配-Extract images in the graphics in the corners, in order to improve the accuracy of sub-pixel detection and image matching
Fast-Rotation-invariant-Template
- 图像梯度方向应用干旋转不变性模板匹配时存在计算量较大的问题，由此提出一种改进的基于梯度方向码的旋转不变模板匹配 方法，通过计算积分直方图降低统计直方图的计算填，采用像素跳跃的匹配方法减少大量无效的匹配运算。实验结果表明，该方法在保证 匹配准确性的前提下，匹配速度提高了3倍至6倍，可以达到实时性要求。-it uses integral histogram to reduce the computing COSTS of computer histograms，and uses pixe
Fast-median-filtering-algorithm
- 中值滤波的基本原理是把数字图像或数字序列中一点的值用该点的一个邻域中各点值的中值代替，让周围的像素值接近的真实值，从而消除孤立的噪声点。-The basic principles of the median filter is the value of digital image or sequence of numbers in a neighborhood of the point value of the median instead, so that the surrounding pi
Fast-matching-algorithm
- 匹配过程只要对编码值进行相等比较，而且可以采用快速的比较算法。新算法对像素灰度的变化与噪声具有鲁棒性。-The matching process as long as the coded values are equal, and can quickly compare algorithms. The new algorithm is robust to the change and noise of the pixel gray.
fast-edge-tracking-algorithm
- 刘丽华提出基于多方向形态算子的快速边缘跟踪算法，主要解决了利用边缘方向信息进行边缘像素编码、边缘像素跟踪最小方向计算和非连续点判断方法等算法关键问题。-Liu Lihua proposed morphological operators based on the multi-directional fast edge tracking algorithm to solve the key problems using edge direction information edge pixel e
fast-fractal
- Fast Fractal Image Compression Based on Domain-Range Pixel Value Difference
m9
- 基于像素的背景建模方法速度较快但不能很好地描述背景运动，光流能准确描述物体运动但计算量大，难以满足实时的要求．提出一种结合基于像素的背景建模方法速度快以及光流描述物体运动准确优点的背景建模和目标检测方法．具体来说，为静止背景建立传统基于像素的灰度背景模型，为运动背景建立光流背景模型，通过２种背景模型的有效结合快速准确地实现目标检测．实验结果表明，提出的方法建模速度与基于像素背景建模方法相当，同时，又有光流准确描述背景运动的优点，综合性能超越上述２种方法．-Faster but not a goo
m10
- 背景建模是实现运动目标检测与跟踪的关键技术之一。在实时视频监控系统中，对背景建模算法的运行时间及所提取出的背景图像的实时性有很高的要求，针对这一问题，提出了一种基于切比雪夫不等式的自适应阈值背景建模算法。算法利用切比雪夫不等式计算像素点色度变化的概率估计值，提出了一种自适应阈值分类方法，它将像素点快速分类为前景点、背景点及可疑点，再利用核密度估计方法对可疑点进行进一步分类，最后利用背景更新算法提取实时背景图像。实验结果证明，该算法能快速有效地区分特征明显的背景点与前景点，提高了背景图像提取的速
fast-template-matching
- 本文提出一种基于图像边缘几何特征的快速模板匹配算法。算法利用边缘 点的位置和梯度方向作为匹配信息进行相似度计算。可以很好的避免因图像明 暗变化、光照不均匀、旋转所带来的影响，且对于部分遮挡的情况，亦可以得 到良好的匹配结果。为了得到边缘点坐标和梯度方向，本文根据曲面拟合原理， 通过平移变换，推导出精确梯度方向和亚像素边缘坐标的快速算法。既加快了 算法的处理速度，也是匹配算法高精度的前提保证。为了使匹配算法满足实时 性要求，主要采用阈值判断和图像金字塔算法的搜索策略。在阈值