Description: 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion. Platform: |
Size: 109568 |
Author:chenruibao |
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Description: A method to detect new objects in a scene by
comparing an input query image and a movie database captured beforehand is proposed.
Our method is based on both feature point matching and edge matching. First, we select the most matched movie from the movie
database based on the number of matched feature points. In addition,
we can get unmatched points in the query by excluding the matched points from all the extracted feature points in the query. Next, the most matched frame is selected from the most matched movie. It has the most
matched points with an input query image. Canny edge detector is applied
to both the query and the most matched frame in order to find unmatched edges. By merging the results of unmatched points and unmatched
edges, new objects will be detected. Our method can be applied to various scenes such as indoor and outdoor. In experimental results, we represent that our proposed method achieves change detection in various scenes. Platform: |
Size: 4935680 |
Author:yangwei |
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Description: 对拍摄得到的驾驶员视频帧图像, 使用复合肤色模型检测人脸 通过自适应边缘检测、 图像增强等方法处理得到
特征图像, 经特征区域筛选, 依据人脸先验知识匹配得到最佳人眼对 提取眼部特征向量, 结合 LVQ神经网络进行模式
识别检测眼部状态, 为判断驾驶员是否处于疲劳状态提供判据。-Video shot by the driver of the frame, the use of composite skin model of face detection through adaptive edge detection, image enhancement approach to be characteristic image, the feature area selection, based on prior knowledge of face matching the best human eye extracted eye feature vectors, combined with LVQ neural network pattern recognition detection of eye condition, to determine whether driver fatigue is provided in the criterion. Platform: |
Size: 106496 |
Author:廖减员 |
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Description: 基于labview的IC图像缺陷检测.通过匹配得到IC的相对坐标,然后通过边缘发现得到各个引脚之间的位置,最后测量各个引脚之间的距离实现IC缺陷类型(弯曲/断裂等)-IC image defect detection based on labview By matching obtain relative coordinates of the IC, and then found between each pin position obtained through the edge, and finally measuring the distance between each pin on IC defect type (bending/breaking, etc.) Platform: |
Size: 2633728 |
Author:张文辉 |
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Search - image matching by edge detection