Abstract: A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.

Abstract: An optical apparatus and a method for identifying wood species of a raw wooden log involve directing light onto a representative portion of a peripheral surface of the wooden log, sensing light reflected on the illuminated representative log portion to generate reflection intensity image data including color image data, subdividing the reflection intensity image data into a plurality of image data regions each containing a preset number of image pixels, analyzing the image data regions to generate associated texture data, analyzing the color and texture data associated with each image data region to assign thereto a probable one of a plurality of species indications, and selecting a majority species indication for the inspected wooden log.

Abstract: An optical apparatus and a method for identifying wood species of a raw wooden log involve directing light onto a representative portion of a peripheral surface of the wooden log, sensing light reflected on the illuminated representative log portion to generate reflection intensity image data including color image data, subdividing the reflection intensity image data into a plurality of image data regions each containing a preset number of image pixels, analyzing the image data regions to generate associated texture data, analyzing the color and texture data associated with each image data region to assign thereto a probable one of a plurality of species indications, and selecting a majority species indication for the inspected wooden log.

Abstract: A method and system for detecting and controlling the quality of debarking at the surface of a wooden log provide information on main parameters related to the debarking quality of the log surface, including fiber loss and residual bark. The debarking quality detecting method and system involve measurement of three-dimensional profile of at least a portion of the log surface to generate corresponding profile image data, which is processed to generate data indicative of the texture of the log surface. The texture data is then analyzed to generate resulting data on the debarking quality parameters. That quality indicative information can be generated on a continuous basis to provide an objective assessment of the quality performance in real-time in view of target productivity, and may then be used to perform optimal adjustments of the debarker operating parameters, either manually by the operator or automatically through feedback control.