公开(公告)号：US06272247B1

公开(公告)日：2001-08-07

申请号：US09314730

申请日：1999-05-18

申请人： Swaminathan Manickam ,  Scott D. Roth ,  Thomas W. Bushman

发明人： Swaminathan Manickam ,  Scott D. Roth ,  Thomas W. Bushman

IPC分类号： G06K964

CPC分类号： G06K9/6203 ,  G06K9/6857

摘要： A system for digital image recognition which combines sparse correlation with image pyramiding to reduce the number of pixels used in correlation provides effective recognition of a reference image template without exhaustive correlation of all pixels in the reference image template. An optimal sparse pixel set is selected from the pixels of the reference image template by correlating the reference image template against a search image scene which is to be searched. Such a sparse pixel set includes those pixels which are optimal in defining the correlation sensitive features of the reference image template. By terminating the accumulation of sparse pixels at an optimal point, performance is maximized without compromising accuracy of recognition. The resultant optimal sparse pixel set is then correlated against the pixels in the search image scene through a series of transformations to find a match of the reference image template within the search image scene.

摘要翻译： 一种用于数字图像识别的系统，其将稀疏相关与图像金字塔组合以减少相关中使用的像素数量，从而有效地识别参考图像模板，而无需参考图像模板中所有像素的详尽相关。 通过将参考图像模板与要搜索的搜索图像场景相关联，从参考图像模板的像素中选择最佳稀疏像素集合。 这样的稀疏像素集合包括在定义参考图像模板的相关敏感特征中最佳的那些像素。 通过在最优点处终止稀疏像素的累积，最大化性能而不损害识别的准确性。 然后通过一系列变换将所得到的最佳稀疏像素集合与搜索图像场景中的像素相关，以找到搜索图像场景内的参考图像模板的匹配。

公开(公告)号：US07239399B2

公开(公告)日：2007-07-03

申请号：US10291074

申请日：2002-11-08

申请人： David W. Duquette ,  Paul R. Haugen ,  David Fishbaine ,  John D. Gaida ,  David D. Madsen ,  Theodore Paul Dale ,  Todd D. Liberty ,  Brant O. Buchika ,  Scott D. Roth ,  Thomas W. Bushman

发明人： David W. Duquette ,  Paul R. Haugen ,  David Fishbaine ,  John D. Gaida ,  David D. Madsen ,  Theodore Paul Dale ,  Todd D. Liberty ,  Brant O. Buchika ,  Scott D. Roth ,  Thomas W. Bushman

IPC分类号： G01B11/14

CPC分类号： H04N13/239 ,  H04N13/194 ,  H04N13/207 ,  H04N13/218 ,  H04N13/254 ,  H04N2013/0081 ,  H05K13/0812 ,  H05K13/0818 ,  Y10T29/49778 ,  Y10T29/53087 ,  Y10T29/53191

摘要： Improved component placement inspection and verification is performed by a pick and place machine. Improvements include stereovision imaging of the intended placement location; enhanced illumination to facilitate the provision of relatively high-power illumination in the restricted space near the placement nozzle(s); optics to allow image acquisition device to view the placement location from an angle relative to a plane of the placement location, thereby reducing the possibility of such images being obstructed by the component; techniques for rapidly acquiring images with commercially available CCD arrays such that acquisition of before and after images does not substantially impact system throughput; and image processing techniques to provide component inspection and verification information.

公开(公告)号：US4876728A

公开(公告)日：1989-10-24

申请号：US124408

申请日：1987-11-20

申请人： Scott D. Roth

发明人： Scott D. Roth

IPC分类号： G06K9/48 ,  G06K9/68

CPC分类号： G06K9/34 ,  G06K9/48 ,  G06K9/685 ,  G06K2209/19

摘要： A practical vision system for controlling the positioning of a robot arm recognizes and locates objects. The vision system processes binary images, but recognizes objects based on boundary features such as lines, arcs, corners and holes instead of "blob features" such as area and best-fit ellipse. Consequently, the vision system can process two common situations not handled by blob analysis: merged blobs due to touching or overlapping parts and incomplete blobs due to low image contrast. The microprocessor-based system is interfaced to the robot system and can recognize up to five parts per second.

摘要翻译： 用于控制机器人手臂的定位的实用视觉系统识别和定位物体。 视觉系统处理二进制图像，但是基于诸如线，弧，角和孔的边界特征来识别对象，而不是诸如面积和最佳拟合椭圆的“blob特征”。 因此，视觉系统可以处理由blob分析不处理的两种常见情况：由于低图像对比度而导致由于触摸或重叠部分和不完整的斑点而导致的合并斑点。 基于微处理器的系统与机器人系统接口，每秒可识别5个部分。