English-sentence-sim

基于Fisher线性判别基础学习器的集成分类器专门用于数字媒体的隐写分析，目前使用高维特征空间。目前，由于其良好的检测精度和较小的计算成本，它可能是设计监督分类器用于数字图像隐写分析的最常用方法。(The ensemble classifier, based on Fisher Linear Discriminant base learners, was introduced specifically for steganalysis of digital media, which currently uses high-dimensional feature spaces. Presently it is probably the most used method to design supervised classifier for steganalysis of digital images because of its good detection accuracy and small computational cost. It has been assumed by the community that the classifier implements a non-linear boundary through pooling binary decision of individual classifiers within the ensemble.)

a.牌照定位，定位图片中的牌照位置； b.牌照字符分割，把牌照中的字符分割出来； c.牌照字符识别，把分割好的字符进行识别，最终组成牌照号码。 (a. License Plate Location, location location of the picture of the license b. Character Segmentation license to license the characters split up c. license character recognition, to split a good character to identify the final composition of license number. )

plt文件转dxf(diverted dxf)

how to use win-logon

基于二维直方图最大熵阈值法的图像分割算法，可选取较好的阈值实现图像分割(failed to translate)

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)

1. 将真彩位图转化成各色或黑白位图，进行二值化(支持多种抖动方法)处理后的位图，效果和速度极佳。 2. 将真彩或黑白位图进行 90度 , 180 度 ,270 度 高速度旋转。 (1. The true color bitmap into a colored or black and white bitmap to binary (supports multiple dithering methods) treated bitmap, effects and excellent speed. 2. The true color or black and white bitmap to 90 degrees, 180 degrees, 270-degree high-speed rotation.)

刚才传的所有程序试验处理的图像(passed the test procedures to deal with all the images)

说明：  基于CT切片的matlab分割程序，可以很好的分割CT切片图中的器官(Segmentation based on CT slices matlab program that can split a good map of the organ slice CT)

说明：  可用于简单图像的处理及几何特征提取，可得到1. 长宽比 2. 矩形度 3. 圆形度 4. 面积凹凸比 5. 周长凹凸比 6. 球形度 7. 偏心率 8. 形状参数(It can be used to process simple images and extract geometric features. It can obtain 1. aspect ratio 2. rectangularity 3. roundness 4. area concave-convex ratio 5. circumference concave-convex ratio 6. sphericity 7. eccentricity 8. shape parameters.)