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Log
- 有了合适的处理对象，剩下的就是技术问题了。在数字运动检测中运用的关键技术有图像数据读取、图像的中值滤波、图像灰度化、图像梯度的获取、图像特征区域的确定、两幅图像的匹配、图像二值化、图像细化、图像去离散点的操作、物体的区域定位、物体中心点的取得，最后再从图片中得到物体运动轨迹。本运动检测系统是为了实现对一系列图片中运动物体的跟踪而设计的，它通过对一系列图片的处理，提取出图片背景，识别出运动物体，进而对运动物体进行跟踪，得到物体运动的轨迹。本文主要阐述了什么是数字图像处理、数字图像处理的基本要求、数
regiongrow_test
- VC编写的区域增长源码，可以得到一帧图像中特征点的中心坐标-VC source code written in regional growth, can be a center of the image coordinates of feature points
SIFT
- SIFT 角点检测,提取图像的焦点特征，SIFT 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强-SIFT CORNER DETECTION EXTRACTION OF IMAGE FEATURE
Haris
- 角点检测，用于运动背景特征点提取，对图像匹配，拼接，运动目标提取有用-Corner detection, feature point extraction for moving background, image matching, mosaic, moving target extraction of usefu
surf
- surf特征点以及描述子的提取和匹配，是图像处理中一项重要的作用-Surf feature point extraction and matching as well as descr iptors, in image processing is an important role
image-content-search
- 图像检索系统源码,仅用于商业学习!具体操作步骤如下： 1.输入带检索图像。 2.选择检索库路径。 3.选择检索方式：基于颜色特征、基于形状特征或者基于颜色和形状综合特征。 4.点击【开始检索】按钮即可得到检索结果。-The source of the image retrieval system, used only for commercial learning! Specific steps are as follows: 1. Input with retrieval of
C
- 模式识别中的指纹识别 涵盖 特征点提取 图像增强 他特征点匹配-fingerprint recognition
zsyyz
- 可以根据图像的局部特征分别采用不同的阈值进行分割。实际处理时，需要按照具体问题将图像分成若干子区域分别选择阈值，或者动态地根据一定的邻域范围选择每点处的阈值，进行图像分割。-According to the local characteristics of image with different threshold segmentation. Actual processing, the need to divide the image into several sub areas accor
sift_match_feature
- 基于sift算法的图像匹配,能检测特征点和进行图像匹配-Image matching based on SIFT algorithm，Can detect feature points and image matching
PCLCode
- PCL课本全章源码的，包含I/O,kd-tree,八叉树，可视化，滤波，深度图像，关键点。采样一致性算法，点云特征描述与提取，点云配准，点云分割，点云曲面重建-the code of book“Point Cloud Library”
Harris
- 本文用用Harris算子提取特征点，基于特征点的匹配，加权融合图像拼接-In this paper, we use the Harris operator to extract the feature points, which is based on the feature points matching.
Harrispinjie
- 本文用用Harris算子提取特征点，基于特征点的匹配，加权融合图像拼接-In this paper, we use the Harris operator to extract the feature points, which is based on the feature points matching.
jvrev
- 小波包分析提取振动信号中的特征频率，表示出两帧图像间各个像素点的相对情况，包含收发两个客户端的链路级通信程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Between two images showing the relative circumstances of each pixel, Contains two clients receive link-level commun
mesh_based_warping
- 可以通过选择多个明显的特征点实现图像的过渡，(The transition of image can be realized by selecting feature points)
Feature Matching
- 运用FAST特征点匹配算法，通过模板对整张大图实现实现图像的特征点匹配，并获取匹配分数和匹配位置信息。(The FAST feature point matching algorithm is used to realize the feature point matching of the image through template pairing of the whole large image, and the matching score and matching location i