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基于QT实现的指纹识别系统,包括平滑,归一化,计算方向场,计算脊线频率,计算有效区域,图像增强,二值化,细化,提取细节等关键技术源码-Fingerprint identification system based on QT implementation, including smooth, normalization, calculate the direction field, computing ridge line frequency, the effective area, image
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这是一系列通过灰度映射、伽马调整、形态学变换、灰度直方图标准化等等方法来对图像细节进行增强的图像预处理matlab代码-Through a series of gray-scale map, gamma adjustment, morphological transformation, details in an image grayscale histogram normalization and so on ways to enhance the image preprocessing of
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pcnn分割,输入的灰度图像,Edge:检测到的一些边界点,Numberofaera则表明了在各次迭代时激活的块区域
利用PCNN进行图像分割时,是将每个像素对应一个PCNN神经元,归一化的像素灰度值
作为外界刺激新型号,将这些神经元按一定方式连接,就得到一个单层脉冲耦合神经网络,向
网络输入一幅图像,当某个像素对应的神经元发生脉冲,邻域内与它相似的神经元也发生脉冲,
产生的脉冲序列构成了一个二值图像序列,这样的序列就是PCNN输出的分割图像。-PCNN segment
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小熊工具箱是由中科院对地观测中心在读博士胡勇将自己写的IDL代码整理而成,包含许多实用功能:相对辐射归一化、矩匹配相对辐射校正、趋势分析、最大值合成、MODIS质量数据转换、批量矢量裁剪、MRT批处理、TVDI、ROI分离器、批量生成缩略图、批量生成影像范围(shp)-Bear toolbox by CAS CEODE PhD Hu Yong will write their own IDL code cleanup is made, it contains many useful featur
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:人耳识别系统中,需要根据特征提取的要求实现图像的自动归一化,并且选择合适的依据使归一化后的结果具有一定的有效性和合理性。提出了一种新的外耳长轴标记法,根据外耳长轴将人耳统一到标准的尺寸和角度 运用主动形状模型算法,实现了外耳轮廓的自动搜索,且对算法进行了改进,调整了模型的初始位置。实验证明,改进后的主动形状模型(ASM)能更快速准确地收敛,且归一化的方法能够合理地将人耳标准化,为后续的特征识别提供了保障。-In the ear recognition system, it is require
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RGB归一化,更好对RGB三通道理解,简单图像处理-RGB normalization, better understanding of the three-channel RGB. Simple image processing
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指纹识别的程序,对输入图像滤波,归一化,二值化等一系列处理-Fingerprint identification process, the input image filtering, normalization, binarization and so on a series of processing
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车牌识别matlab代码,建立了字符归一化模板,包含车牌图片,字符分割等。-License plate recognition matlab code, build character normalization template, including the license plate image, character segmentation.
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图像处理方面基础框架结构。主要是对图像的灰度操作,均值,中值最大值最小值滤波。添加一些如高斯噪声等噪声,还有对图像进行去噪处理。显示图像的RGB分量,对图像进行灰度直方图均衡化和归一化。-Based image processing framework. The main image is a gray operation, mean, median maximum minimum filter. Add some noise such as Gaussian noise, as well as
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归一化分割可直接运行的版本,已移除BUG-a mathod of normalization cut(Ncut) which without any bug. And use for image segment.
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能够根据设定的比例参数裁去直方图中灰度值最小和最大的一部分像素值,然后将灰度值归一化,(后期处理可以自行将灰度值拉伸至需要的动态范围)能够提升图像的对比度。-Parameter setting can be cut according to the proportion of gray value histogram to the minimum and maximum portion of the pixel value, and then the gray value normalizati
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图像预处理程序,可以多幅图像叠加求平均,可以生成灰度图和散点图,可以对图像进行亮度归一化,可以提取感兴趣区域ROI-Image preprocessor, multiple images can be superimposed averaging can generate grayscale and scatter, the image may be brightness normalization can extract the region of interest ROI
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对灰度图像进行归一化处理(求对数)使得图像灰度差异明显-The normalization of gray image (for logarithmic) makes the image gray difference obvious
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手写汉字变形问题是非特定人脱机手写汉字识别中的关键同题。本文从预处理的角度探讨了直接从汉字点阵图像上矫正手写变形、减小属于同一类别的不同模式之I町差异的途径,提出了一种新的非线性规一化方法。该方法同时考虑了汉字笔画像素点和背量空白像素点,汉字点阵中的所有像素点均具有笔画密度描述,且将不同的像素点赋予不同的笔画密度,笔画密度时描述具有二维性、局部性,使得笔画密度的描述更为合理,规一化后的汉字点阵中笔画的分布更加趋向均匀.实验结果证实了本文方法的有效性。-The problem of handwri
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在图像照度不均匀的情况下,可以通过Gamma校正,将图像整体亮度提高或降低。在实际中可以采用两种不同的方式进行Gamma标准化,平方根、对数法。(In the case of uneven image illumination, the image brightness can be increased or decreased by Gamma correction. In practice, Gamma normalization, square root, and logarithmic
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处理图像的一些算法,包括直方图的计算,直方图均衡化,直方图规格化之类的(Some algorithms of image processing, including histogram calculation, histogram equalization, histogram normalization and so on)
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集成的图像预处理方法,包括图像直方图均衡化,直方图规格化,中间还有CT图像的重建,产生sheeplogan 模型,产生投影数据,CT图像重建(Integrated image preprocessing methods, including image histogram equalization, histogram normalization, and CT image reconstruction in the middle, produce sheeplogan model, gener
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This example shows how to scan an image with a limited angle, obtain the sinogram, add noise to make things worse, and reconstruct the initial image with great accuracy
%You may want to remove/edit some sections if you intend to apply this to your u
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利用线性Hough变换和Canny边缘探测得到的所输入虹膜图像上各点的坐标,最终通过归一化产生一个虹膜的特征模板。(The coordinates of each point on the iris image are obtained by using the linear Hough transform and the Canny edge detection. Finally, a feature template of the iris is generated by the norma
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matlab下的手指静脉图像预处理:均衡化,膨胀,腐蚀,细化,手指边缘检测,截取roi区域,尺度归一化以及灰度归一化。(Finger vein image preprocessing under matlab: equalization, expansion, corrosion, thinning, finger edge detection, interception of ROI region, scale normalization and gray normalization.)
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