Search - Image segmentation

Search - Image segmentation - List

[SCM] 边缘检测与分割处理 DL : 1: 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-code P0401 Note : Prewitt operator to detect the edges in the image P0402 : different values of Getting operator to detect the edges in the image P0403 : Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to remove all current lines, retaining only chip targets
Date : 2025-12-13 Size : 45kb User : tian
[SCM] kalmanfiler DL : 0: 卡尔曼滤波C程序卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filtering C program Kalman filter is an "optimal recursive da ta processing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on.
Date : 2025-12-13 Size : 1kb User : 于军相
[SCM] extendkalman DL : 0: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an "optimal recursive data proces sing algorithm (since the handover optimization algorithm for data processing). " For most of the solution, he is the best, most efficient, if not the most useful. He has the broad application of more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the radar system and missile tracking, and so on. In recent years, it has been used in computer image processing, such as humans recognition, image segmentation, image edge detection, and so on.
Date : 2025-12-13 Size : 1kb User : 于军相
[SCM] HistogramVC DL : 0: // // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every pixel value in the image. // There are various well-known mathematical operations that you can perform on an image // using histograms, to enhance the image, etc. // Histogram stretch (aka automatic gain control): // Stretches the image histogram to fill the entire range of values. This is a "point operation," // meaning each pixel is scaled to a new value, without examining the neighboring pixels. The // histogram stretch does not actually require you to calculate the full histogram. The scaling factor // is calculated from the minimum and maximum values in the image.
Date : 2025-12-13 Size : 3.21mb User : yue feng
[SCM] SemanticAndaptationofNeuralNetwork DL : 0: Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
Date : 2025-12-13 Size : 812kb User : 焦亚民
[SCM] The-detection-of-traffic-lights DL : 1: 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先，建立交通信号灯的高斯模型，利用高斯向量与多色彩空间结合的方法进行图像分割。然后，采用基于区域增长与相似性判定的关联滤波，对色彩分割后的图像进行处理。最后，使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征，并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights recognition in complex scenes. Using color segmentation and the associated filtering scheme, the detection of traffic lights. First, the Gaussian model to establish the traffic lights, the use of Gaussian vector with multi-color space for image segmentation. Then, using the associated filter, based on regional growth and the similarity determination processing of the image color segmentation. Finally, the canny operator edge extraction algorithm to obtain the direction indicator profile feature, and use the classification based on improved hu moment invariants and the Mahalanobis distance directional signal lights.
Date : 2025-12-13 Size : 13kb User : 谷文彦
[SCM] gunpoufie DL : 0: Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decomposition algorithm.
Date : 2025-12-13 Size : 6kb User : sankainuimang
[SCM] jou_v78 DL : 0: The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Own five modulation signal, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
Date : 2025-12-13 Size : 5kb User : guimuikaojing
[SCM] gh856 DL : 0: Including single sideband, double sideband, suppressed carrier and quadruple, There is a well attenuation curve as input to calculate its seismic waves, Particle image segmentation and matching subroutines themselves are prepared.
Date : 2025-12-13 Size : 4kb User : beifentuiben
[SCM] aruse DL : 0: IDW inverse distance weighting method, Chaos-based simulated annealing algorithm, Particle image segmentation and matching subroutines themselves are prepared.
Date : 2025-12-13 Size : 9kb User : hwajnxph
[SCM] 4162 DL : 0: Pisarenko harmonic decomposition algorithm, Time series data analysis Mellin transform tool, Particle image segmentation and matching subroutines themselves are prepared.
Date : 2025-12-13 Size : 9kb User : 付战
[SCM] xjxpe DL : 0: The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
Date : 2025-12-13 Size : 10kb User : hingnaihao
[SCM] pantan_v14 DL : 0: Includes the modulation, demodulation, signal to noise ratio calculation, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Transceiver contains two client programs.
Date : 2025-12-13 Size : 5kb User : janyiugie
[SCM] gjyks DL : 0: Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines themselves are prepared, Debugging can be used.
Date : 2025-12-13 Size : 4kb User : louie_kong
[SCM] af006 DL : 0: The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Monte Carlo simulation method of calculating the American option price and basic description, allan FOG output error variance analysis.
Date : 2025-12-13 Size : 59kb User : faogiumaobun
[SCM] abmgx DL : 0: The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Single path or multipath Rayleigh fading channel simulation, Contains a common array signal processing algorithm.
Date : 2025-12-13 Size : 148kb User : 王利飞
[SCM] 2347 DL : 0: The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation ML estimation method can be a good signal to noise ratio, Very suitable for the study using computer vision.
Date : 2025-12-13 Size : 147kb User : 夏艳生
[SCM] warpa DL : 0: Pattern Recognition bayes discriminant analysis algorithm, Calculation of growth, entry-level program grains Particle image segmentation and matching subroutines themselves are prepared.
Date : 2025-12-13 Size : 147kb User : tfeaivu
[SCM] er701 DL : 0: Particle image segmentation and matching subroutines themselves are prepared, Transceiver contains two client programs, Optimization class contains several simple sample programs.
Date : 2025-12-13 Size : 147kb User : baimenhiu
[SCM] 4624 DL : 0: Using common plane wave expansion method, Particle image segmentation and matching subroutines themselves are prepared, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
Date : 2025-12-13 Size : 147kb User : tuilunhanbai

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