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Study On Computer-aided Measurement System For Design Parameters Of Goggles Based On Visualization Technology

Posted on:2019-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:C ChenFull Text:PDF
GTID:2428330566486167Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
As the size of the goggles in sale is not detailed,even directly adopting western standard,which reduces the comfort of people wearing them.It is necessary to measure and collect features data to guide the design of ergonomic goggles.In the process of measuring data,there are two problems if contact-type manual measurement is used.1)Due to different measurement habits,there may lead to different measurement result.2)Due to the characteristics of some parameters,some of them cannot be directly measured by hand.With the rapid development of image processing technology and volume visualization technology in biomedical engineering,it is possible to quickly perform 3-D reconstruction and perform quantitative analysis on arbitrary areas of the reconstructed model,thereby effectively avoiding the occurrence of manual measurement.Therefore,how to measure the design parameters of goggles,constructing 3-D models based on the volume visualization technology,how to ensure the accuracy of measurement results,and how to design an auxiliary measurement system with good interactive performance are of great research significance and application value.Some implemented issues about the measurement for the design parameters of goggles,including image preprocessing technology,volume visualization technology,computer interaction technology and computer-aided measurement methods are analyzed and researched in this paper intensively.In this purpose,some improvements for current used methods and innovative algorithms are proposed,and a computer-aided measurement system is developed for the design parameters of goggles by using those proposed techniques.The main research contents of the paper are listed below:1.In order to achieve high-quality 3-D reconstruction and ensure the real-time performance of 3-D reconstruction,marching cubes algorithm is analyzed and researched in this paper intensively.Based on the principle and implement of marching cubes algorithm,the ambiguity,interactivityand their improvement methods are analyzed and researched intensively so that render high-quality model surface as well meet the need of interactivity.2.In order to assist in measuring design feature parameters of goggles,attitude transformation of the 3-D model,3-D picking technology and rapid prototyping are analyzed and researched in this paper.Attitude transformation is analyzed to facilitate viewing of 3-D model from different angles and directions;3-D picking is discussed to realized the positioning and measurement of model coordinates;Finally,in order to facilitate the reuse of 3-D model data,rapid prototyping technique is implemented.3.In order to accurately measure the design parameters of the goggles,different images are measured separately.For symmetrical images,the operator can directly perform measurements on 2-D images based on DICOM file parsing and display.For asymmetric images,first of all,3-D reconstruction of asymmetric image sequences is performed,and then the symmetrical slice image is extracted on the 3-D model based on attitude transformation technology and 3-D picking technology,at last the measurement is performed on the slice image.After completing a large number of head feature data measurements,based on data statistics methods,a method for predicting the design parameters of the goggles is inferred.Based on the above research contents,a computer-aided system based on visualization for the measurement of the design parameters of goggles is developed.The detailed design ideas,overall framework,functional modules and key technologies of this system are shown in this paper.The experimental results show that this system can effectively achieve the measurement of the design parameters of the goggles,and can be used for the collection process of design parameters for the design of the goggles.
Keywords/Search Tags:Visualization technology, Computer-aided measurement system, Goggles size, Goggles design feature measurement, Computer interaction technology
PDF Full Text Request
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