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The aim of this study is to assess log quality and extract the internal defects information from a log x-ray image with fractal and mathematical morphology method. Firstly, the log image is divided into sub areas, calculate the multi-scale fractal feature (DMF) of each sub areas, the DMF values of different regions in a log image are normally different. According to the values of DMF the internal...
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...
Defected woods always influence wood processing. If they are not chosen precisely, the woods will be inferior in quality. In order to obtain contours and internal information of defected woods, they are detected. Images of them are processed for the scientific usage of woods and guarantee of the increasing using rate of woods. Mathematical morphology is a new subject established based on rigorous...
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