The mathematic model of the line structured-light 3-D vision sensor was established.A separating-parameter method was proposed to calibrate the structure parameter,and a calibration target was designed.In the calibrat...The mathematic model of the line structured-light 3-D vision sensor was established.A separating-parameter method was proposed to calibrate the structure parameter,and a calibration target was designed.In the calibrating process,complicated measurement is avoided and the calibration is fast and easy to carry out,which simplifies the calibrating procedure.The experimental results show that the space measurement accuracy is better than 0.15 mm.This method is high efficient and practical in vision sensors calibration.展开更多
Since there is lack of methodology to assess the performance of defogging algorithm and the existing assessment methods have some limitations,three new methods for assessing the defogging algorithm were proposed.One w...Since there is lack of methodology to assess the performance of defogging algorithm and the existing assessment methods have some limitations,three new methods for assessing the defogging algorithm were proposed.One was using synthetic foggy image simulated by image degradation model to assess the defogging algorithm in full-reference way.In this method,the absolute difference was computed between the synthetic image with and without fog.The other two were computing the fog density of gray level image or constructing assessment system of color image from human visual perception to assess the defogging algorithm in no-reference way.For these methods,an assessment function was defined to evaluate algorithm performance from the function value.Using the defogging algorithm comparison,the experimental results demonstrate the effectiveness and reliability of the proposed methods.展开更多
基金Supported by the National Natural Science Foundation of China(No.50235030)
文摘The mathematic model of the line structured-light 3-D vision sensor was established.A separating-parameter method was proposed to calibrate the structure parameter,and a calibration target was designed.In the calibrating process,complicated measurement is avoided and the calibration is fast and easy to carry out,which simplifies the calibrating procedure.The experimental results show that the space measurement accuracy is better than 0.15 mm.This method is high efficient and practical in vision sensors calibration.
基金Projects(91220301,61175064,61273314)supported by the National Natural Science Foundation of ChinaProject(126648)supported by the Postdoctoral Science Foundation of Central South University,ChinaProject(2012170301)supported by the New Teacher Fund for School of Information Science and Engineering,Central South University,China
文摘Since there is lack of methodology to assess the performance of defogging algorithm and the existing assessment methods have some limitations,three new methods for assessing the defogging algorithm were proposed.One was using synthetic foggy image simulated by image degradation model to assess the defogging algorithm in full-reference way.In this method,the absolute difference was computed between the synthetic image with and without fog.The other two were computing the fog density of gray level image or constructing assessment system of color image from human visual perception to assess the defogging algorithm in no-reference way.For these methods,an assessment function was defined to evaluate algorithm performance from the function value.Using the defogging algorithm comparison,the experimental results demonstrate the effectiveness and reliability of the proposed methods.
