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Mathematical morphology is the emerging theory and method in digital image processing now. Based on the basic theory and algorithm of mathematical morphology, self-adaptive multi-scale weight morphological operator was advanced and used in the defect identification of wood products X-ray computed tomography image. As can be seen in the experimental analysis, compared with the traditional edge detection...
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...
With the increase of wood demand, wood nondestructive testing technology becomes more and more important. Many nondestructive technologies are established on the basis of multi-subject and high technology. Wood nondestructive testing technology is a comprehensive subject. Recently it has achieved fast development. X-ray computed tomography (CT) scanning technology has been applied to the detection...
Wood has long been an important building material. The wide variety in appearance, strength properties and the possibility of different dimensions are some of the reasons why wood is still very attractive for this purpose. Wood nondestructive testing technology is a new and comprehensive subject. In recent years it has achieved fast development. Computed tomography offers great potential for non-destructive...
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...
Wood non-destructive testing technology is a new and comprehensive subject. An approach of image edge detection based on morphology of omnidirectional and multi-scale structuring element is constructed by weighting method of morphological operation. In recent years wood non-destructive testing has achieved fast development. Computed tomography (CT) scanning technology has been applied to the detection...
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...
X-ray as a method of measurement was adopted to detect wood defects nondestructively. Due to the intensity of x-ray that crosses the object changes, defects in wood were detected by the difference of X-ray absorption parameter, and therefore it used computer to process and analyze the image. On the basis of image processing of nondestructive testing and characteristic construction, defects mathematic...
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