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High Dynamic Range Imagine Algorithm Based 3D Profilometry

Author: ShaoSaiSai
Tutor: ZhaoYuMing
School: Shanghai Jiaotong University
Course: Pattern Recognition and Intelligent Systems
Keywords: High dynamic image algorithms Three-dimensional shape measurement Phase calculation Phase unwrapping Specular reflection Exposure time
CLC: TP274
Type: Master's thesis
Year: 2010
Downloads: 108
Quote: 0
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Abstract


Three-dimensional shape measurement in industrial applications as a common automated optical inspection methods, with a very large range of applications, so there are many studies in this regard . In previous studies , the focus is three morphologies recovery algorithm, including a series of system calibration , phase calculation and phase unwrapping method, but is often limited to the object to be detected non-specular reflecting objects . Given industrial metal object detection object detection is a very important part , and metal objects often cause specular reflection effects , so this article focuses on the three-dimensional metal surface topography measurement , proposed the use of high dynamic image algorithms to overcome the three-dimensional shape measurement in insufficient metal surface measurements . The traditional three-dimensional shape measurement of three-dimensional measurement system calibration step , the surface deformation raster image acquisition, calculation and phase unwrapping phase , which determines the phase accuracy of the calculation accuracy of the final three-dimensional information recovery , while the phase is calculated using the phase shift method of phase shift by solving a series of images obtained by raster distortion . Limited dynamic range of the camera , the conventional raster image deformation under the influence of specular reflection will produce supersaturation , so that the phase information of specular reflection area will not be obtained , resulting in three-dimensional shape recovery deletion in this region . In this paper, a three-dimensional image based on high- dynamic shape measurement method to overcome the impact of specular reflection . High dynamic range image algorithms using different exposure times of the image to restore the scene actual flux and flux instead of using the pixel values ??of the phase value is calculated , thus avoiding saturation because the pixel values ??caused by the phase error value , thereby effectively overcome the problems caused by specular reflection , to restore the surface of the specular reflection of the true 3D shape .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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