LINEJ

CCD工作原理教程 图像传感器原理介绍（CCD和CMOS介绍）(CCD image sensor principle works tutorial introduction (CCD and CMOS description))

一个简单的雷达动目标检测程序，仅供学习之用。(A simple radar moving target detection procedures, for learning purposes only.)

使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。(use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.)

各种图像处理技术举例。其中原代码可以直接使用，非常不错。(various image processing technology, for example. The original code which can be used directly, very good.)

说明：  自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵(I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy)

表單驗證 調用為 onBlur=checkform(fname1,fname2,types,value1,value2) 輸入框的驗證 onSubmit subt(this.id) 表單提交時的驗證 兩者需要一起使用 fname1=驗證的項目名 fname2=驗證的副項目名 types=驗證的方式 value1=驗證的值1 value2=驗證的值2 驗證的方式值:(多驗證方式用"|"分割 例: 1|2|3) 0.該值不能為空! 1.您輸入太短了!不能小於value1字符 2.您輸入太多了!不能超過value2字符! 3.你的兩次密碼不一至,請驗證! 4.您的輸入與要求不相符,該輸入只能在value1~value2之間! 5.您輸入的E_mail不正確!請重新輸入! 6.只能為數字 */(calling for the certification form onBlur = checkform (fname1. fname2, types, value1, value2) input box test onSubmit subt (this.id) at the time of submission of the form Taken together need to verify the use of the test fname1 = fname2 = projects were validated by the deputy project were typ es = verifiable means value1 = the value of a certification value2 = 2 certification test the value of values : (multi-authentication "|" segmentation cases : 1 | 2 | 3) 0. The value can not be empty! 1. Your input is too short! value1 not less than two characters. You lose into too many! not more than value2 characters! 3. your password twice to different, Please validation! 4. Your input is not in line with requirements, The importation of only between value1- value2! 5. E_mail you enter )

合成孔径雷达成像算法与实现（仿真代码） 书中光盘所附带的数据处理源码(SAR imaging algorithm and implementation (simulation code))

java语言开发 二维码的生成与解析

bemd分解得到图像基本imf，二维希尔伯特变换(Image basic IMF obtained by BEMD decomposition.Two-dimensional Hilbert transform)

物体分割，Ross Girshick的R-CNN + fast R-CNN + faster R-CNN(object classification Ross Girshick. R-CNN+ fast R-CNN+ faster R-CNN)