Research On Image Identification Of Coniferous Wood Annual Ring Cell And Modeling Of Its Geomertric Parameters

With rapid development of our national economic scale and scientific and technological level,the demand of wood and its application range is enlarged continuously,and the research on wood becomes more and more thorough and deepens from macroscopic to microscopic.At the same time,the digitized description for wood cell has become focus and an important direction of the research on wood.Wood is the typical anisotropic material with natural hole, which is composed of the cells with different shape.Different cells,cell density and cell shape lead to comparatively great difference in wood properties and physical mechanical properties, change of wood cells affects change of wood properties including wood quality,wood property and all other aspects,and wood properties decide economic value and directly affect manufacturing and utilization of wood,therefore,the research and analysis on wood cell structure become especially important.B ased on concerned domestic and foreign research on wood cells,through making sections of wood cells,intact cell images of annual ring was obtained;The microstructure of wood cells was analyzed by experiments,and the experiment results make certain that cell area and cell wall thickness affect on use value as well as processing and utilization performance directly or indirectly.Direct towards the defect of image segmentation effect that several traditional edge operators have on wood cells,level set method was employed to do the segmentation treatment for wood cell image in this paper and fast algorithm of level set method, narrow band algorithm,was adopted,which solved the problem of too ling image treatment time,and modified level set method based on Mumford-Shah model was employed to perform segmentation for wood cell image,which avoided blindness existing in segmentation and improved the effect of segmentation greatly.This paper brought forward that identifying processing of cell morphology should be performed based on active contour model(snake). The cell outline was collected with two-step expansion model of modified Snake,at the same time;greedy algorithm was applied to reduce the operative time of procedure.Upon the basis that the segmentation of wood cell intracavity and edge was finished,wood cell wall was identified.Based on precise segmentation,the digital of parameters of annual ring was obtained gradually,under MATLAB environment and based on least square principle,the curve fitting was carried out for cell wall thickness and cell area of coniferous wood,the distribution law model of cells and cell wall thickness on annual ring direction was established and compared with cubic spline functions fitting.Because sexangle microscopic image of wood cells can represent most shape features of wood cells,this paper had accomplished the simulation of microscopic image for wood cells of regular normal hexagon,regular long hexagon changeable hexagon as per Early and Late.The expression and storage of image database for wood cell images was finished by analyzing and using the discontinuation and key technology of image database.Principle of least squares,digital image segmentation,digital image treatment and digital image identifying were applied into the research of wood science in this research,the wood cell image of annual ring from annual center to wood edge was analyzed,the modified level set method was applied to segmentate cell image precisely for the first time,the identifying of wood cells and hexagon simulation for wood cells were accomplished with active contour model,which had important potential application value in deepening the research of wood properties to a further step,moreover,had an important significance for improving comprehend on wood micro-properties and enlarging the applicable range of wood.