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TCS32OOD[1]
图像传感器，TSC3200D，经典颜色识别的传感器资料。源自美国TAOS公司，光电矩阵元件，具有多种彩色识别功能。(TCS3200, TCS3210
PROGRAMMABLE
COLOR LIGHT-TO-FREQUENCY CONVERTER
USA TAOS)
- 2010-07-10 21:38:40下载
- 积分：1
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Image-Haze-Removal
2009年CVPR最佳论文,何恺明的基于暗通道的图像去雾的相关论文，ppt以及matlab代码.
Dark channel prior 是一种对无雾的图像的统计规律：在无雾图像中，大部分图像块中至少有一个颜色通道具有很小的颜色强度值。利用dark channel prior，可以直接从一幅有雾的图像中估计出雾的浓度，并恢复出高质量的去雾图像。(CVPR best paper in 2009 (He Kai Ming Single Image Removal Haze is the Using the Dark Channel) paper, ppt and the matlab code, it is)
- 2021-02-18 16:39:45下载
- 积分：1
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JOS
mean-shift跟踪算法中核窗口大小的自动选区(mean-shift tracking algorithm in the size of the nuclear window automatically constituency)
- 2007-08-28 23:08:26下载
- 积分：1
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BM3D
说明： BMD完整代码，包括灰度图片和彩色图片的去噪、去模糊等功能，去噪效果尤为突出。(Complete code of BMD, including de-noising and de-blurring functions of gray image and color image, especially outstanding de-noising effect.)
- 2020-12-17 14:09:12下载
- 积分：1
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ostu
ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理，极大缩短了搜索图像阈值计算时间，与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点。(ostu threshold image segmentation algorithm for image segmentation Ostu optimal thresholds to optimize the processing, greatly reduces the search image thresholding computation time, with the traditional enumeration method Otsu methods, in the calculation of time has significant advantages.)
- 2021-03-01 11:09:34下载
- 积分：1
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gridreciprial
梯度倒系数实现背景抑制,提高小目标检测的信噪比(reversing Coefficients gradient background suppression, and enhance the signal-to-noise ratio target detection)
- 2007-01-19 11:50:43下载
- 积分：1
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plot_brains
通过对于CT图像的读取来进行三维的脑部显示，有助于学习基于matlab的CT图像三维重建过程(Conducive to learning through the reading of CT images to three- dimensional brain display matlab- based CT image 3D reconstruction process
)
- 2012-07-13 18:16:43下载
- 积分：1
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C#百度OCR-本地和网络图片识别文字-更新
【实例简介】
- 2021-11-04 00:31:39下载
- 积分：1
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sparse_learning
cholesky算法信号稀疏解 对于数据压缩有很大帮助(we are the world we are the children we are the ones)
- 2012-03-24 21:22:48下载
- 积分：1
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jiasusan
改进的 SUSAN 算法，用于自适应阈值的边缘检测(improved algorithm for the adaptive thresholding edge detection)
- 2007-06-21 09:48:23下载
- 积分：1
