资源列表
20070810108
- 矢量量化技术及其在图像压缩中的应用 毕设论文及代码-Vector quantization and its application in image compression Complete set of papers and code
face
- 一篇介绍SUSAN角点定位人眼文章,可以精确定位角点!-Introduced a SUSAN corner of eyes localization the article, can accurately locate corner!
test
- 图像处理国外测试图库链接,对需要测试图像的初学者帮助很大!-Image processing test library, of great help for beginners!
view
- 收集的图像处理面试题目,适合图像处理就业方向的应届生.-Collection of image processing interview subject, suitable for image processing obtain employment direction graduate student.
test
- camshift视频目标跟踪程序,实现目标物体实时跟踪,有一定局限性!-the camshift video target tracking procedures to achieve the real-time tracking of the target object, there are certain limitations.
imagestitch
- 图像拼接程序,可以较好的实现大幅场景图像拼接处理.-Image stitching program, you can better achieve substantially the scene image stitching process.
figures-identification-system
- 该算法是一个数字识别系统源代码，能够对包含有不规则数字且含有噪声的图像识别出其中的数字，该系统可先进行图像预处理，然后识别出数字。-This algorithm is a source code of figures identification system , It can identify the figures of the images which has irregularfigures and contains the noise , the system can preproc
MyTable
- MyTable - an example of a table, Excel on similarity. Represents the structure of the table and the objects of formulas. Output of results at the console. If necessary, we can build on the graphics system.
Sobel
- Sobel边缘检测算子的源码，方便移植调试。-The source of the Sobel edge detection operator, convenient portable debugging.
Classical_filter_algorithm
- 经典的滤波算法：1、限幅滤波法2、中位值滤波法3、算术平均滤波法4、递推平均滤波法5、中位值平均滤波法6、限幅平均滤波法7、一阶滞后滤波法-One of the conventional reconstruction techniques of CT is the filtered backprojection method which has little complexity and high resolution, but has not locality properly
NewOtsuThreshold
- 改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 -Improve classic otsu algorithm to achieve image segmentation
ellipse
- 从TEX文档中读取一系列点数据xy坐标，根据最小二乘原理，采用高斯全主元消去法来拟合椭圆曲线，求得椭圆基本参数。-From the TEX document to read a series of points xy coordinates, Gaussian full principal component elimination method based on the principle of least squares to fit the elliptic curve obtained