Description: 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification Platform: |
Size: 1024 |
Author:chenyuanlu |
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Description: 自适应核密度估计运动检测方法
提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出方法的适应性和可靠性.-Adaptive kernel density estimation method of motion detection of an adaptive kernel density (kernel density estimation, KDE) estimated motion detection algorithm. Algorithm first proposed an adaptive prospects, the background of the dual-threshold threshold selection method for pixel classification. The method used to overcome the dual-threshold single classification threshold shortcomings, the choice of threshold can be adaptive, and able to adapt to different scenes. On this basis, this paper, based on the probability of the background update model, in accordance with the probability of pixels to update the background, and take advantage of interframe differential background model and the classification results of KDE, to resolve the deadlock in the background update, while detection of abrupt changes in the background. Experiments show the proposed method of adaptability and reliability. Platform: |
Size: 1480704 |
Author:maolei |
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Description: 该程序采用基于邻域阈值分类的小波变换去噪算法，比传统的去噪算法效果更好，对理解小波变换去噪算法有很大帮助-The program neighborhood-based classification threshold wavelet de-noising algorithm, than the traditional de-noising algorithm is better to understand the wavelet transform denoising algorithm are very helpful Platform: |
Size: 1024 |
Author:tjy |
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Description: Bayesian classification algorithm based on image threshold segmentation iterative threshold segmentation algorithm for the best environment to run correctly matlab7.0 Platform: |
Size: 4096 |
Author:nounou28 |
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Description: 研究了基于内容敏感图像过滤中的若干关键
技术, 分析比较了三种常用的肤色检测算法, 利用统计阈值法评价了各个特征分类图像的能力强弱, 并依此实现了一个决策树
敏感图像过滤器。为有效降低肖像类正常图像的误判率, 又在过滤器中使用了人脸检测机制-Of context-sensitive image filtering based on the number of key technologies, analysis and comparison of the three common skin detection algorithm, evaluated using statistical threshold of each image feature classification strengths and weaknesses, and implement a decision tree so sensitive image filter. Portrait class in order to reduce false positives rate of the normal image, but also used in the filter mechanism of face detection Platform: |
Size: 446464 |
Author:朱秀红 |
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Description: It is a general purpose one-class classification algorithm. As a development in the research area of Artificial Immune Systems (AIS), it is a negative selection algorithm, one of the earliest methods inspired by immune system. Negative selection algorithms are mainly based on the negative selection process in the thymus, in which immature T cells that recognize self cells are eliminated before the rest can mature and are deployed into the immune system.
The implementation posted here uses real-valued representation although the algorithm of V-detector should apply to other data representations as long as the matching rule can be expressed as a threshold of some distance measure.
Platform: |
Size: 602112 |
Author:nour12 |
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Description: Abstract— In this paper we describe a method for fast
and reliable coin classification using coin images taken in various
conditions by different people and a possible solution when
dealing with illumination inconsistencies. It relies on edge based
features and texture/colour features extracted automatically. For
edge detection we are using the Canny’s edge detector algorithm
with dynamic thresholds values obtained using the Otsu’s
threshold algorithm. At the end of this paper some experimental
results are given indicating that the approach fulfils the given
task effectively.
Platform: |
Size: 422912 |
Author:kanly88 |
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Description: 运行平台MATLAB，基于BP神经网络的语音分类，含权值与阈值的计算-Operating platform of MATLAB, the BP neural network-based voice classification, with the right values and the threshold calculation Platform: |
Size: 373760 |
Author:江山 |
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Description: 基于YCbCr空间的阈值边界肤色分类模型-Border color classification model based on the threshold of the YCbCr space Platform: |
Size: 35840 |
Author:赵新章 |
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Description: 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模
-Adaptive kernel density estimation motion detection method, an adaptive kernel density (kernel density estimation, KDE) estimated that the motion detection algorithm, the algorithm first raised the prospect of an adaptive dual-threshold of the background threshold selection method for the classification of the pixels prime The method can overcome the dual-threshold with the shortcomings of a single threshold classification, the choice of threshold can be adaptive, and can adapt to different scenarios. On this basis, this paper presents a probability-based background update model, according to the probability of the pixel to update the background, and frame difference and background mode Platform: |
Size: 1480704 |
Author:弯曲 |
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Description: 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the function k-means clustering and can fill in the number of iterations of the classification threshold, and is based on gray. (Ps: function and realize their own, but reading the image information using a emgucv built-in function) Platform: |
Size: 25356288 |
Author:妮乐 |
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Description: 背景建模是实现运动目标检测与跟踪的关键技术之一。在实时视频监控系统中，对背景建模算法的运行时间及所提取出的背景图像的实时性有很高的要求，针对这一问题，提出了一种基于切比雪夫不等式的自适应阈值背景建模算法。算法利用切比雪夫不等式计算像素点色度变化的概率估计值，提出了一种自适应阈值分类方法，它将像素点快速分类为前景点、背景点及可疑点，再利用核密度估计方法对可疑点进行进一步分类，最后利用背景更新算法提取实时背景图像。实验结果证明，该算法能快速有效地区分特征明显的背景点与前景点，提高了背景图像提取的速度，对可疑点利用核密度估计方法降低了背景分割的误差，背景建模效果理想，运算速度快，适用于实时视频监控系统。-Background modeling is a key technology to realize the moving target detection and tracking. In real-time video surveillance system, there are high demands on uptime and background modeling algorithm is proposed to remove the background image in real time, for this problem, a Chebyshev inequality based on adaptive threshold background modeling algorithm. Cut algorithm uses to calculate the probability of Chebyshev inequality pixel color change estimates, an adaptive threshold classification method, it will be classified as pre-fast pixel of interest, background points and suspicious points, re-use kernel density estimation method suspicious point for further classification. Finally, background updating algorithm to extract real-time background image. Experimental results show that the algorithm can quickly and efficiently in the background of significant features of the region of interest with the previous point, improving the speed of extraction of the background image, the point of s Platform: |
Size: 1972224 |
Author: |
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Description: 局部二进制模式，LBP，是已被用于纹理特征的一个
分类。在本文中，提出了一种基于使用这些功能的方法
检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是
施加到无缺陷织物样品，逐个象素和参考的所有的行（列）
特征矢量的计算。那么这个图像被分为Windows和LBP算子是
应用这些窗口的每一行（列）。根据与参考比较
特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个
测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以
检测到。该方法简单，灰度不变。由于其简单性，
线上实现是可能的。-Local Binary Patterns, LBP, is one of the features which has been used for texture
classification. In this paper, a method based on using these features is proposed for
detecting defects in patterned fabrics. In the training stage, at first step LBP operator is
applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference
feature vector is computed. Then this image is divided into windows and LBP operator is
applied to each row (column) of these windows. Based on comparison with the reference
feature vector a suitable threshold for defect free windows is found. In the detection stage, a
test image is divided into windows and using the threshold, defective windows can be
detected. The proposed method is simple and gray scale invariant. Because of its simplicity,
online implementation is possible as well. Platform: |
Size: 333824 |
Author:李国华 |
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Description: Abstract—In slow frequency hopping systems, it is critical
to detect, classify, and mitigate interference, as it degrades the
system performance. Generalized likelihood ratio test algorithm
was proposed for the detection of interference. However, it could
not classify the type of interference. In this paper, we propose
algorithms to classify between follower/stationary interference
and multitone interference/partial-band noise interference. Classification
of interference in various types of modulation schemes
is performed based on a ratio-testing approach, where the ratio
is compared with a predetermined threshold value. It is critical
to set the threshold at an optimal value in order to achieve a good
classification performance. The optimal value and classification
performance are obtained through simulation results. Platform: |
Size: 139264 |
Author:ppdghius |
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Description: 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. Platform: |
Size: 70656 |
Author:陈文菁 |
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Description: 硕士论文（已经发表）
1，国内外研究现状。
2，猕猴桃现状及种植分析
3，基于价值增值理论确认阀值的方法
4，单果重图像的信息化
5，可视化标准分类
6，创新点与结论-Master s thesis (published)
1, the research status at home and abroad.
2, the kiwi present situation and the analysis of planting
3, based on the theory of value increment confirm threshold method
4, the weight of image information
5, the visual standard classification
Six, the innovation points and conclusion
Platform: |
Size: 10804224 |
Author:吕吉方 |
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Description: 为了根据作物不同病害程度等级采取不同防治方法，实现作物高产和减少环境污染，提出了一种复杂背景
下的作物叶片病害等级分类算法。首先，利用阈值分割法对黄瓜病害叶片图像进行病斑分割 其次，计算病斑区域中
像素个数与病叶区域中像素个数的比值 最后用作物病害等级分级标准进行比较来确定病害等级类别。利用该方法
在2 种作物5 种常见病害叶片图像数据库上进行了病害等级分类试验，识别精度高达92． 7 。结果表明，该方法对
作物病害叶片等级分类是有效可行的-To take a different control methods based on different levels of crop disease levels, crop yields and reduce environmental pollution, the proposed plant leaves disease classification algorithm under complex background. First, the threshold segmentation method cucumber disease leaf images lesion segmentation secondly, to calculate the ratio of the number of pixels in the lesion area and the number of pixels in the region of diseased leaves and finally a comparative rating of crop disease grading criteria for determining disease level category. Using this method on two kinds of crop disease leaf images using five common of disease classification test, recognition accuracy up to 92. 7 . The results show that the method of crop disease leaf classification is feasible and effective Platform: |
Size: 220160 |
Author:naipab |
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Description: 提出了利用GIS辅助数据与遥感影像套合获取像斑进行变化检测的完整方法。将变化检测问题转化为一个基于像斑特征相似性度量的两类划分问题——变化与未变化。构造了向量相似度的衡量指标,利用数据挖掘方法找到划分阈值,并与相关系数指标进行了比较。结果显示向量相似度指标更适合本文方法用于变化检测。-Put forward using GIS auxiliary data and remote sensing image change detection for like a spot on set of complete method.Will change detection problem into a two kinds of the like spot feature similarity measure based on the problem, change and change.Constructing the vector similarity measure, using data mining method to find classification threshold, and are compared with those of the correlation coefficient index.Results show that the vector similarity index is more suitable for the method used for change detection. Platform: |
Size: 446464 |
Author:fangsm |
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Search - Threshold based classification