The invention discloses a
computer image based automatic identification method of timber knot flaws. The method comprises the major steps of firstly, acquiring timber images by use of digital cameras, secondly, performing preprocessing, such as image recombination,
image denoising and
image enhancement, on the acquired timber images, thirdly, performing characteristic extraction on the preprocessed images by use of an image digital
processing algorithm, fourthly, judging the quasi-circle or
ellipse shape features of the timber flaws by virtue of Hough transformation according to flaw edge characteristics and determining candidate regions, fifthly calculating the area of knot flaws by use of a line-by-line pixel area scanning
algorithm, and sixthly, identifying the timber knot flaws by use of a
comparison area threshold and characteristic parameters. The method is used for identifying the timber knot flaws by use of the
image identification technique, and is high in identification accuracy, high in speed and simple to operate; the method is capable of meeting the requirements of the modern timber
processing industry on the knot flaw identification speed and quality, and also capable of accurately locating the knot flaws to facilitate high-speed automatic
cutting of the knot flaws.