Log evaluation using cylindrical projections

摘要

A three-dimensional density distribution of a log is reduced to a two-dimensional structure that provides a convenient image or visualization of defects like knots or voids in a log, to facilitate grading and/or optimization of a sawing strategy for the log. The two-dimensional data structure is based on cylindrical or modified cylindrical coordinates Z and theta. To provide a more compact identification of defects, modified cylindrical coordinates use a Z-axis that follows the growth center in the log and determines data points by evaluating properties of the log along rays at an upward angle corresponding to limbs in a tree. A process for identifying the growth center at any distance Z along the length of the log examines or accumulates the gradient of density along lines through a cross-section of the log. Manual grading and sawing optimization can employ viewing of an image based on the two-dimensional data structure with superimposed marks indicating the boundaries of faces cut from the log. Automated grading and sawing optimization employs the two-dimensional data structure to reduce processing time when compared to processes that manipulate three-dimensional data structures.