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Description: 图像分割成固定的大小（256×256）-images divided into fixed size (256 256)
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Size: 3905536 |
Author: 朱晓霞 |
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Description: 图像缩小，放大，剪裁，变黑白灰度图，还有调节对比度和亮度等-Image shrink, enlarge, crop, change black and white grayscale, as well as adjust contrast and brightness, etc.
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Size: 9216 |
Author: 李玟 |
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Description: 本程序可以帮助用户对一个目录下的全部图像文件进行裁剪，操作简单，用户只需首先打开一幅图像，然后指定裁剪区域，点击批量裁剪按钮即可。-This procedure can help the user to crop all the image in a directory, it s easy to operate, users simply open the image first, and then specify the crop area, click Batch cropping button.
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Size: 294912 |
Author: Chen Fei |
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Description: Image cropping, basic - MATLAB-Image cropping, basic- MATLAB
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Size: 53248 |
Author: xyz |
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Description: 图片裁切常用js，共享出来大家使用吧-Picture crop common js, we use it to share out
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Size: 1024 |
Author: wqtnt |
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Description: 图像特征识别通过神经网络训练方法实现，是学习参考的好资料-you will need first to run the file that name "charGUI4.fig" and on the right side there is a load training set where you have to train the system first, run any data that is should be from 1 to 9 and 0 like ( 1 2 3 4 5 5 6 7 8 9 0) as many line as you want so if you have a traning data that is 10 columns by 5 lines then you have to assign that to the small boxes that name column and line. right now keep the#words as is because I plan to use it but I change my mind so that it is automatically count the word for you.
after you train the system then load any image test, from the "Load Image" once you upload the image then choose the "select" and then go to the uploaded image and select whatever you want to recognize, after that select "crop" to crop the exact part that you want to recognize after that selcet "Features Extraction" to extract the features after that choose the "recognize" to see the results up on the result box.
P.S. keep in mind that the program has been tested on the
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Size: 709632 |
Author: 反对撒 |
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Description: crop zoom picture using visual basic
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Size: 74752 |
Author: ha |
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Description: This source code can be used to crop images easily by using C++ Builder.
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Size: 3072 |
Author: senorita |
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Description: crop files in openCV
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Size: 1024 |
Author: sapan doshi |
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Description: 用matlab对各种图像进行裁剪，是图像处理中经常用到的步骤-Various images with matlab crop,which is often used in image processing steps
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Size: 17408 |
Author: sherryhxp |
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Description: Image crop in matlab
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Size: 1024 |
Author: pms |
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Description: 批量地对图像进行自由剪裁 以达到想要的大小 并能批量输出- batch crop the image freely and batch output
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Size: 2048 |
Author: salt |
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Description: biomedical signal processing book
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Size: 418816 |
Author: prasana |
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Description: crop an image using jsp and servlet
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Size: 48128 |
Author: sunny |
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Description: VB 图像裁切显示裁切框经典模块Crop frame crop image display VB Classic Module
-Crop frame crop image display VB Classic Module
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Size: 83968 |
Author: dop |
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Description: Example Crop image with Codeigniter
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Size: 474112 |
Author: Furidasu |
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Description: Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new
method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescription of multi-
temporal MODIS/Terra data (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis and (iii)
specifying the phenological stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time
profile. Applying this method to MODIS data, we determined the planting date, heading date, harvesting date, and growing period in
2002. And we validated the performance of the method against statistical data in 30 paddy fields. As for the filtering, we adopted wavelet
-Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new
method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescription of multi-
temporal MODIS/Terra data (ii) filtering time-series Enhanced Vegetation Index (EVI) data by time-frequency analysis and (iii)
specifying the phenological stages by detecting the maximum point, minimal point and inflection point from the smoothed EVI time
profile. Applying this method to MODIS data, we determined the planting date, heading date, harvesting date, and growing period in
2002. And we validated the performance of the method against statistical data in 30 paddy fields. As for the filtering, we adopted wavelet
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Size: 334848 |
Author: Pham Duy Tien |
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Description: JScript Code for Image Crop
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Size: 149504 |
Author: p_pat99 |
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Description: Auto Crop in borland delphi
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Size: 122880 |
Author: mah.zad.yar |
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Description: this code is used for crop an image.
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Size: 1024 |
Author: kalaipriya |
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