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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 )

说明：  利用最大间类差，最优阈值，迭代阈值等方法实现图像分割(The maximum class difference, optimal threshold and iterative threshold are used to realize image segmentation)

现场指纹的方向场，四种方法比较OF_FOMFE，OF_manual，OF_proposed，OF_STFT(latent fingerprint orientation，orientation field estimation for latent fingerprint enhancement)

canny边缘检测（自动设置Sigma的高斯平滑+Sobel(原始)+自适应直方图阈值）(canny edge detection (automatically set Sigma Gaussian smoothing+ Sobel (original)+ adaptive histogram threshold))

基于小波和形态学的自然地面背景红外目标检测方法。。。。。。(Based on wavelet and morphology of the natural terrestrial background infrared target detection method)

实现了Chan－Vese算法，参考文献active contour without edges, 图像处理方面引用率最高的文献之一(Realize the Chan-Vese algorithm, reference active contour without edges, image processing, to quote one of the highest rates of the literature)

一种简单的代数重建算法，用于CT图像二维重建，供初学者学习使用。(A simple algebraic reconstruction algorithm, used in CT image reconstruction, for beginners learning to use.)

來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)

图像分割在医学图像，智能识别上的应用，虹膜识别(Image segmentation in medical imaging, intelligent recognition on the application of iris recognition)

用双线性插值法实现的图像缩放，内有详细的使用说明。非常好用(Bilinear interpolation method used to achieve the image scaling, which has detailed instructions. Very easy to use)