Abstract: A machine vision system that can address a number of board, lineal, cant, and flitch inspection problems by incorporating all the sensors needed to address the surface feature detection problem, the three-dimensional shape detection problem, and the internal feature detection problem. To detect surface features, two color cameras are employed, one for imaging each of the major faces of a board, lineal, cant, or fitch. To address the three-dimensional shape detection problem, a high speed laser profiling device is employed. An x-ray scanning system is employed to detect internal features. The system is able to process material in a species-independent manner by using a histogram-based segmentation procedure for analyzing both the camera imagery and the x-ray imagery; and can detect small defects by removing the effects of large features from the histograms once they have been detected. The system also utilizes redundant information from the set of multiple sensors to improve system accuracy.

Abstract: A system for automatically color and grain sorting materials includes a pair of color cameras positioned to view the top and bottom faces, respectively, of each part. A computer analyzes the data from the top and bottom cameras, and also controls the voltage on the input line to each camera. Camera controllers accept analog data from the camera heads and digitize it so that the information can be passed to the computer for analysis. A white target inserted into the field of view of each camera allows the computer to collect the data needed to do "shading compensation" on the collected color image data.