Research On The Detecting Technology Of Log's Superficial Knots By Computer Vision

Classifying log is always a key part in log producing departments and log processing departments. The manual measurement has been adopted for a long time,which is greatly affected by artificial factor resulting in low measuring precision and can't be processed by automatic line. The kind dimension and quantity of knots are important detecting indexes in classifying log. So we choose knots as our research target in the thesis.Firstly,the thesis concluded the methods of detecting technology by computer vision in forest industry. Based on analyzing the development of image processing and pattern recognition in detail and on outlining the present methods,the thesis illuminated the present level of the computer vision technology used in wood processing;Visual C++6.0 of Microsoft Company is applied as a tool to develop image-processing module. And various feasible algorithms and methods were expounded in image processing and pattern recognition. The thesis successfully designed the software architecture of knots detecting system by computer vision. Through experiments,the detecting system's feasibility and rationalization were proved.The detecting system of log's superficial knots by computer vision is reasonable,and its detecting principles have a sound theoretical basis. The thesis's achievements will provide theoretical and feasible support in classifying log.