Sequence Rice Images In The Research Of3D Visualization Shape And Nutrition Diagnosis

National agricultural information is one of the important symbol to measure the leve1of agriculture modernization. With the computer information technology and life sciences further integration, plant growth process can be simulated on a computer, including plant morphological changes and the biochemical processes.It gradually developed into an the important direction of modern agriculture discipline.In the study of rice,the data source is sequence images of rice that taken with a digital camera,which is used to create the3D visual model of rice by silhouette-based modeling method. The rice leaf chlorophyll content is measurement by chlorophyll meter when we capture the sequence rice images. Through digital image processing technology, to explore the relationship between with the SPAD value and the color parameters in the corresponding leaf region,which provides a theoretical basis for the3D inversion model for the rice SPAD value.This paper included several aspects below:1. In the study,a digital camera is selected as the image sensor in the machine vision system which is for image acquisition devices that capture sequence rice image from multi-view.The rice images which shoted by the machine vision system are high quality,and textures ande features of rice leaves are clearly visible.Then the rice3D model will be creat by the silhouette extracted by the images,which serve as the high-quality deta base.2. The main objective is to use non-destructive way to obtain accurate rice3D model that built by the silhouette-based method. The precision of rice3D model is close toaccuracy of laser scanner which is the most advanced in the morld, however, the cost is much smaller than the latter construct. It is used to achieve real-time crop morphological data and to creat the high visual effect3D model. The accuracy of rice morphological data could satisfy the requirement of agricultural researchers, so this study belongs to the field of agricultural information based applied research, which has very important theoretical significance and value.3. By extraction and analysis the rice leaf image, to explore the quantitative relationship between with rice leaf parameters and SPAD readings, for the three-dimensional model of rice paddy internal growth dynamics of expression, which quantitatively describe the growth and development of rice and other studies provide a theoretical basis. Experimental data show that, rice leaf chlorophyll values have a significant linear correlation with the RGB color parameters which collected during the three-dimensional modeling of image sequences in rice leaves corresponding parts.In the research, by first to derive prediction model equation through the leaf RGB image parameter and SPAD multivariate linear regression analysis., then it is verified the correctness of the resulting prediction equations by the other set of data. The results show that, the RGB color extracted by the picture in the process to creat rice3D model could be inversion of the rice SPAD readings, which provide a viable theoretical basis to measure the whole rice chlorophyll content and to assess the nutrition.