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Mathematical morphology is a new subject established based on rigorous mathematical theories. In the basis of set theory, mathematical morphology is used for image processing, analysing and comprehending. It is a powerful tool in the geometric morphological analysis and description. It has become a new theory in the digital image processing field. Moreover, it has deep influence on the image processing...
The recognition model of wood defects based on artificial neural network (ANN) was presented for classifying the defects effectively. X-ray was adopted as a measure method for log nondestructive testing. Applying MATLAB and VC++ image processing program processed the image of log with defects and extracted the characters of the image. The mathematic model of defects recognition was established according...
Contrasting to the original method of identifying the types of wood defects which requires the experienced technical staff with good discrimination to consider the characteristics of wood defects in the image, this paper presents a new method which can identify the types of internal wood defects rapidly and accurately by BP neural network which can analyse the visual characteristics parameters of...
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