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Content available remote Image processing algorithms in the assessment of grain damage degree
EN
Objectives: The paper presents preliminary results on the assessment of algorithms used in image processing of the grain damage degree. The purpose of the work is developing a tool allowing to analyse sample cross-sections of rye germs. Methods: The analysis of the grain cross-sections was carried out on the basis of a series their photos taken at equal time intervals at a set depth. The cross-sections will be used to create additional virtual cross-sections allowing to analyse the whole sample volume. The ultimate plan is to generate two cross-sections perpendicular to each other. Based on volumetric data read from the sample section, a three-dimensional model of an object will be generated. Results: The analysis of model surface will allowed us to detect possible grain damage. The developed method of preparing the research material and the proprietary application allowed for the identification of internal defects in the biological material (cereal grains). Conclusions: The presented methodology may be used in the agri-food industry in the future. However, much research remains to be done. These works should primarily aim at significantly reducing the time-consuming nature of individual stages, as well as improving the quality of the reconstructed image.
EN
Medical diagnostics necessitates performing quantitative analysis and measurements of 2D or 3D data. The length, angle, region area, 3D surface area, and volume are measured to determine medical parameters. This paper presents an uncertainty estimation for a 3D surface model created from object boundaries using CT, MRI series of images. Next, thirty dry bone pelvises underwent the morphological, classical radiological and CT tests, and were reconstructed in 3D. Then, the obtained results for selected parameters describing the pelvis and the orientation of coxal acetabulum were compared. Using dray human pelvises for validation study is extremely important to convince physicians that measurements results based on virtual models are comparable to the same results obtained in the classical way.
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