-
MedianFilterSmooth
图形图像处理中的平滑处理,可以实现部分的功能,但是还可以继续完善(Graphic image processing smoothing, can achieve some of the functions, but can also continue to improve)
- 2008-06-25 00:14:41下载
- 积分:1
-
MATLAB_
能够实现对生物芯片的识别和图像处理,识别有效芯片区域,读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)
- 2020-07-17 21:08:48下载
- 积分:1
-
Image-conversion
此算法是图像之间的转换,二值图,RGB等的相互转换源代码(This algorithm is the conversion between the images, the two value of the map, RGB, and so on the conversion of the source code)
- 2015-09-18 20:17:30下载
- 积分:1
-
edge
通过边缘检测寻找图像上圆点的圆心坐标,可用于大量的图像处理程序(Image through edge detection to find the center coordinates of the dots)
- 2009-04-13 17:09:22下载
- 积分:1
-
CT-tracking
一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维,然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单,但是实验结果很鲁棒,速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)
- 2014-01-10 11:45:54下载
- 积分:1
-
Codes
用于实现高密度人群聚合检测
包含:边缘检测、灰度共生矩阵计算、SVM特征分量的分类(For achieving high-density population polymerization detector comprises: edge detection, gray level co-occurrence matrix calculation, classification SVM characteristic component)
- 2016-11-24 15:24:00下载
- 积分:1
-
N_ordre_modeling
带有完全匹配曾的声波方程正演,从2阶精度到8阶精度可选(Had the acoustic wave equation forward with an exact match, optional 2 order accuracy to 8 order accuracy)
- 2021-04-09 09:09:00下载
- 积分:1
-
Extracted-the-circular
二值化图像,提取图像中的圆形,例如提取照片中的车轮(Extracting a circular image, for example, extraction wheel photo)
- 2014-05-17 11:34:12下载
- 积分:1
-
hidemessage
数字隐写,将txt文档藏进图片中,并能够从图片中解出隐藏的文本。(Digital steganography )
- 2012-03-19 21:28:01下载
- 积分:1
-
Joint entropy
计算两个离散变量x和y的联合熵z = H(x,y)。 输入:x,y:两个相同长度的整数向量输出:z:联合熵
可以使用,有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy
good for learning purposes)
- 2020-06-23 11:20:01下载
- 积分:1