搜索资源列表
circle
- 该程序能对图片进行像素级,亚像素级别图像处理,并对多条轮廓进行圆心拟合,计算各自圆心坐标,方便快捷,坐标数值以及处理后的图像均能保存~~ -The program can be pixel image, sub-pixel level image processing, and the number of contour fitting center, center coordinates of each calculation, convenient, coordinate values
BmpRead
- 读取BMP图片,并把像素保存,进行图像处理-Read BMP images, and save the pixel, image processing
BMP-bitmap-operation
- BMP位图包括位图文件头结构BITMAPFILEHEADER、位图信息头结构BITMAPINFOHEADER、位图颜色表RGBQUAD和位图像素数据四部分。处理位图时要根据文件的这些结构得到位图文件大小、位图的宽、高、实现调色板、得到位图像素值等等。这里要注意的一点是在BMP位图中,位图的每行像素值要填充到一个四字节边界,即位图每行所占的存储长度为四字节的倍数,不足时将多余位用0填充-BMP bitmap file bitmap header structure, including BITMA
bianyuanjiance456
- 数字图像处理中亚像素边缘检测的相关文献,很有用的-Central pixel digital image processing edge detection literature, very useful
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
SubPx
- 图像处理中常遇到“亚像素”这个词。亚像素实际上不存在,但是在想象中存在。于是用数学的方法计算出它的值。示例中将一幅图的高和宽都扩大到5倍,造成原来相邻两像素不相邻了,中间间隔了好几个像素单位,这些像素怎样定义它们,简单的,数学上用双线性插值的方法求出未知的像素。本程序提供一个代码示例,供参考,希望对您有帮助。-Frequently encountered in image processing "sub-pixel" is the word. Sub-pixel does not actuall
knife
- 对所采样的原始图像进行噪声滤波、边缘检测、特征提取、利用多项差值亚像素算法。-the target image is be processed that it is filtered noise, edge detection and character be got.
003935699yaxiangsuweiyiguji
- 亚像素位移快速匹配方法的代码实现,可以精确到亚像素运动估计。也是图像超分辨率重建的一个重要内容-Fast sub-pixel displacement matching method code can be accurate to sub-pixel motion estimation. Image super-resolution reconstruction is an important element of
图像处理
- 掌握使用MATLAB对图像进行操作和处理,包括图像的读取、存储、显示、格式转换、调整和显示图像像素等,清楚一些常用的标准数组,并能进行基本的逻辑运算。掌握图像空间增强的方法,如灰度变换、分段线性变换和直方图处理的概念和实现。
SuperPixel
- 在计算机视觉领域,图像分割(Segmentation)指的是将数字图像细分为多个图像子区域(像素的集合)(也被称作超像素)的过程。超像素由一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息,且一般不会破坏图像中物体的边界信息。(n the field of computer vision, image segmentation (Segmentation) refers to the process of segmenting a d
BaseZernike1
- 基于Zernike 正交矩的图像亚像素边缘检测的改进算法(sub-pixel based on Zernike)
Matlab图像采集工具箱
- 基本的图像采集流程: 本文通过实现一个简单的运动检测程序来说明创建图像采集程序。 本程序通过对平面上未来图像帧进行像素对像素的比较类完成运动检测。 如果没有物体运动,那么各帧的像素值保持不变。否则,对应像素的值将发生变化。(Basic image acquisition process: In this paper, a simple motion detection program is implemented to illustrate the creation of image a
chazhi
- 差值计算,图像像素行列差值,计算像素的差异性,进而可以计算灰度差,进行图像分割(Difference calculation, image pixel row column difference)
Zernike
- 改进的基于Zernike正交矩的图像亚像素边缘检测,对图像的边缘实现亚像素级别的检测。(Improved subpixel edge detection based on Zernike orthogonal moments, and realizes sub-pixel level detection on the edge of image.)
randmask
- matlab处理图像,随机扔掉图像的像素点,并进行双线性最邻近插值(Randomly discard pixels of an image. Bilinear interpolation and nearest neighbor interpolation are also performed)
image
- 进行图像像素的聚类分析,采用k-mean聚类分析,速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
test5
- 修改一个图像的像素值,让修改像素值的点显示线,矩形,圆等图形。(Modify the pixel value of an image so that the point of the pixel value can be displayed, such as lines, rectangles, circles and other figures.)
simple linear iterative clustering for matlab
- 超像素图像分割方法,简单线性迭代聚类,用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)
speckle
- 用相关搜索法和曲面拟合算法计算图像的位移,精确到亚像素级。(The displacement of the image is calculated by correlation search method and surface fitting algorithm, which is accurate to sub-pixel level.)
meanshift
- 通过均值漂移算法的实现,获得彩色图像和灰度图像的超像素分割结果(Through the realization of mean shift algorithm, the super pixel segmentation results of color image and gray image are obtained)