公开(公告)号：US5318173A

公开(公告)日：1994-06-07

申请号：US890967

申请日：1992-05-29

Applicant: Srinivasa R. Datari

Inventor： Srinivasa R. Datari

IPC: B07C5/10 ,  B07C5/342 ,  B07C5/00

CPC classification number: B07C5/10 ,  B07C5/3422 ,  Y10S209/939

Abstract: An apparatus and a method sort items, such as pickles, having defective shapes, such as holes. A video camera scans moving items and acquires lines of image data including item-colored data and background-colored data. The lines of image data are sent to an image processor and compiled into a 64 line "frame" of image data that are further processed to identify the coordinates of individual items and to compute the size of each item. Because holes in an item are the same color as the background color, the invention provides a device differentiating holes from the background. A "hole-bounding box" is scaled to fit within the item position coordinates. The number of background-colored pixels inside the hole-bounding box is computed and compared to a user-defined threshold number. An item is classified as defective if the threshold number is exceeded. Whenever the image processor classifies an item as defective, centroid position coordinates of the item are reported to a master processor for subsequent rejection of the item.

Abstract translation: 一种装置和方法对诸如孔的缺陷形状的腌渍排序物品。 摄像机扫描移动项目并获取包括项目色数据和背景彩色数据的图像数据行。 图像数据线被发送到图像处理器并被编译成图像数据的64行“帧”，进一步处理以识别各个项目的坐标并计算每个项目的大小。 因为项目中的孔与背景颜色相同，所以本发明提供了一种将背景区分开的装置。 “孔边框”被缩放以适合项目位置坐标。 计算孔边界框内的背景色像素的数量，并将其与用户定义的阈值进行比较。 如果超过阈值数，则项目被分类为有缺陷。 每当图像处理器将物品分类为有缺陷时，该物品的重心位置坐标被报告给主处理器以用于该物品的后续拒绝。