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细胞分类器 pami的论文实现，不错的代码-Cells were segmented using a custom-made image processing pipeline. The segmentation pipeline was implemented in order to distinguish cells from the background. The segmentation pipeline is composed of standard image-processing
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Many state-of-the-art approaches for object recognition
reduce the problem to a 0-1 classifi cation task. Such re-
ductions allow one to leverage sophisticated classifi ers for
learning. These models are typically trained independentl
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gmkl算法源码，广义多核学习，可用图像多类分类。-gmkl algorithm source, the a generalized multicore learning, free image multi-class classification.
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在图像识别技术的实现过程中，图像分割是一个重要的预处理环节，图像分割效果，直接影响着后续的分类、目标识别、图像分析、图像理解等过程的结果。针对着不同的图像特点，目前已经提出了错综复杂的图像分割算法。其中基于图论的图像分割算法是近几年研究的热点，这类算法着眼于全局，更注重局部数据的处理，比一般方法可以获得更佳的效果，并且图论理论有着比较完备的数学理论基础，将其用于图像处理有着较好的应用前景。-In the implementation process of image recognition te
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不同分类结果构成不同的商空间，根据粒度合成理论将这些商空间组织起来进行合并，得到SAR 图像的最终分类结果-The final classification results of different classification results of which form the quotient space, according to the granularity synthesis theory these quotient space organized merge SAR image
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图像处理模式识别一种分类算法：svm，对于所提取的图像的特征进行训练学习然后分类。-Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.
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图像处理与识别中的文字识别,可以将文字进行分类-Character recognition, image processing and recognition text classification
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KNN分类程序，对人脸识别等图像处理有些许帮助和人脸数据图像-The KNN classification procedures, face recognition and image processing image of some help and face data
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数字图像处理和监督分类基本操作。包括点运算、几何变换、图像增强、频域滤波、彩色图像处理，形态学变换、图像分割、特征提取、识别初步等。- The basic operation of digital image processing and supervised classification. Including point arithmetic, geometric transformation, image enhancement, frequency domain filtering, co
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采用ASP+ACCESS+DIV+CSS+AJAX开发,可配置在支持ASP环境的任意主机。
友好的系统操作界面，不需要专业的知识，即可熟练的使用，易学易用。功能完善，先进的批量上传技术，智能水印功能，
无限级分类，智能加密保护，图片幻灯式播放，功能让您轻松上传管理所有图片。自由设置搜索引擎优化相关的，网站优
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特有的百变背景功能，让您的图片管理更加丰富多彩。
后台目录 /admin/
帐号：admin
密码：admin
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车牌识别中，图像预处理、二值化，图像分割以及字符识别和分类的方法综述研究。并对主流方法进行了实现。-License plate recognition, image pre-processing, binarization, image segmentation and character recognition and classification Methods. And mainstream methods to achieve.
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矩特征主要表征了图像区域的几何特征,又称为几何矩， 由于其具有旋转、平移、尺度等特性的不变特征，所以又称其为不变矩。 利用不变矩进行识别与分类-Moment feature is mainly characterized by the geometric features of the image area, also known as geometric moments, due to its rotation, translation, scaling, and other characte
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经典的图像处理算法，主要功能是实现种子的分类，从而鉴别种子。-Classical image processing algorithms, the main function is to achieve the classification of seeds, to identify seed.
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《图像模式识别之VC++技术实现》这本书的分类程序源码，希望对大家有用！-" The image pattern recognition VC++ technology source book classification procedures, and hope to be useful!
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为非监督分类的一种——K均值算法，这里设定的适用于灰度图像，分类后的图像在显示的同时保存在D盘-A non-supervised classification- K-means algorithm, set applies to gray image, classified image display while stored in the D drive
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采用PCNN和ICM进行图像特征提取并去噪时所采用分类方法-Classification method using image feature extraction and denoising using PCNN and ICM
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图像自相似性计算。基于全局的图像自相似性计算的目标检测-
Global and Efficient Self-Similarity for Object Classification and Detection
From the methods in [1] this code allows to compute self-similarity
hypercubes (SSHs). These SSHs can be obtained from a prototype
as
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该程序可以实现基于K均值算法对彩色遥感图像(如SPOT)进行非监督分类
可以输入分类类别数,程序自动生成分类后的遥感专题图-The program can be achieved based on the K-means algorithm unsupervised classification of color remote sensing image (SPOT), you can enter the number of the categories, the program autom
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对图像二值化然后求出Hu矩并根据矩进行分类-Image binarization then obtained Hu moments and moments classification
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細線化演算法，以便提供影像辨識的分類處理-Thinning algorithm in order to provide the classification of the image recognition processing
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