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图像处理的基本功能,支持向量机分类,高效实用。-The basic function of image processing, support vector machine classification, efficient and practical.
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实现功能:打开图像,直方图均衡化,RGB反转,图像缩放,各种滤波,各种分类,几何校正等。
-Function: open the image, histogram equalization, RGB inversion, image scaling, various filtering, various classification, geometric correction, etc..
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本文件是图像场景识别并进行分类的程序,已运行成功。
分别利用1 tiny image描述和最近邻分类器
2 bags of sifts描述和最近邻分类器
3bags of sifts描述和线性svm分类器进行场景分类识别的。
在主程序proj3中将FEATURE 改成tiny image,CLASSIFIER 改成nearest neighbor,注释其他FEATURE 和CLASSIFIER的选择就可以实现第一种场景分类识别:tiny image描述和最近邻分类器。以此类
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halcon编写的图像模式识别程序,进行颜色分类-Halcon prepared by the image color classification procedures
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实现图像的旋转 分类和识别 实现图像的旋转 分类和识别-Image rotation classification and recognitionImage rotation classification and recognition
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利用matlab实现不同形状的标记分类,对不同形状的规则图像进行检测-Using matlab realize the classification markings of different shapes, different shapes of the rules for detecting image
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实现简单的灰度处理,主要调用BItmap函数库的内容,实现位处理功能。-This system mainly uses LabWindows/CVI and the visual software package Vision design system program. Vision has a wide range of machine vision development environment, the visual software package Vision machine vis
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运用C++检测人眼,
2)用opencv中检测人脸、眼睛、嘴巴等都是用的CascadeClassifier分类器,具体使用时可以使用C的函数,也可以使用opencv中使用C++封装好的类。下面是它们检测目标时的函数形式(从opencv官网复制的)
C: CvSeq* cvHaarDetectObjects(const CvArr* image, CvHaarClassifierCascade* cascade, CvMemStorage* storage, double scal
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基于贝叶斯分类算法的图像阈值分割,经典的循环迭代求取最佳阈值。-Image threshold segmentation based on the Bias classification algorithm, the classical iterative method for the optimal threshold.
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关于支持向量机的非监督分类方法。利用波段特征度图片进行处理,并最终识别并分类图像中的物品-Unsupervised classification method on support vector machine. The use of the band characteristics of image processing, and ultimately identify and classify objects in the image
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基于图像的模式识别的简单的BP人工神经网络的进行的简单的分类-Simple classification image pattern recognition simple BP artificial neural networks based
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用模糊增强的方法增加原图像的对比度,以便用于后续分类和分割-Fuzzy enhancement method of increasing the contrast of the original image, so that for subsequent classification and segmentation
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数字图像预处理中的分类器,主要包含BP,LVQ和PNN三种分类选择器的实现,还有部分数据可供测试参考。-Image processing classification consists mainly BP, LVQ and PNN three categories selectors realize, there are some data to test reference.
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高光谱遥感图像处理之数据分类的fcm算法源代码maltlab-Hyperspectral remote sensing image processing data classification of the FCM algorithm source code maltlab
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adaboost方法是一种重要的图像处理方法,通过几个弱的分类器,得到一个强分类器。-Adaboost method is a kind of classificatioin method, which is widely used in image processing.This method use several weak classification method and get the strong classification method.
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针对成像平台运动情况下的运动目标检测问题,提出了一种从特征点稀疏运动场估计到运动分类的目标检测算法。
首先通过快速特征点检测与跟踪恢复出图像稀疏运动场;然后依据特征点之间运动一致性关系实现属于同一运动模式的特征
点分类,根据分类得到的各组特征点计算场景图像重建误差,剔除重建误差最小的特征点组,实现对前景目标的检测。仿真实
验对该算法在复杂场景中检测运动目标的有效性进行了验证。-】In order to detect target in the background motion vi
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描述图像分割的基本方法以及分类,并对各个方法进行了比较,对初学者很有意义-Describe the basic methods of image segmentation and classification, and compares the various methods, is very meaningful for beginners
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论文源代码 :[2013TIFS] Exposing digital image forgeries by illumination color classification-Some notes on
A) Compilation
B) Execution of the code
C) Parameters
D) General remarks on our work in color constancy and image forensics
E) Referencing
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Harris角点检测,图像处理的关键步骤,可用于人脸识别,车辆识别,细胞分类等-The key step Harris corner detection, image processing, can be used for face recognition, vehicle identification, cell classification
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混合像元提取算法,采用的为线性分解模型,输入文件为ndvi图像及监督和非监督分类图像-Mixed pixel extraction algorithm, using linear decomposition model input file ndvi images and supervised and unsupervised classification image
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