A new 3D surface contouring and ranging system based on digital fringe projection and phase shifting technique is presented. Using the phase-shift technique, points cloud with high spatial resolution and limited accur...A new 3D surface contouring and ranging system based on digital fringe projection and phase shifting technique is presented. Using the phase-shift technique, points cloud with high spatial resolution and limited accuracy can be generated. Stereo-pair images obtained from two cameras can be used to compute 3D world coordinates of a point using traditional active triangulation approach, yet the camera calibration is crucial. Neural network is a well-known approach to approximate a nonlinear system without an explicit physical model, in this work it is used to train the stereo vision application system to calculating 3D world coordinates such that the camera calibration can be bypassed. The training set for neural network consists of a variety of stereo-pair images and the corresponding 3D world coordinates. The picture elements correspondence problem is solved by using projected color-coded fringes with different orientations. Color imbalance is completely eliminated by the new color-coded method. Once the high accuracy correspondence of 2D images with 3D points is acquired, high precision 3D points cloud can be recognized by the well trained net. The obvious advantage of this approach is that high spatial resolution can be obtained by the phase-shifting technique and high accuracy 3D object point coordinates are achieved by the well trained net which is independent of the camera model works for any type of camera. Some experiments verified the performance of the method.展开更多
A new approach for three dimensional (3-D) shape measurement was proposed based on colorcoded fringe and neural networks. By applying the phase-shift technique to fringe projection, point clouds were generated with hi...A new approach for three dimensional (3-D) shape measurement was proposed based on colorcoded fringe and neural networks. By applying the phase-shift technique to fringe projection, point clouds were generated with high spatial resolution and limited accuracy. The picture element correspondence problem was solved by using projected color-coded fringes with different orientations. Once the high accurate corresponding points were decided, high precision dense 3-D points cloud was calculated by the well trained net. High spatial resolution can be obtained by the phase-shift technique and high accuracy 3-D object point coordinates are achieved by the well trained net, which is not dependent on the camera model and will work for any type of camera. Some experiments verify the performance of this method.展开更多
In this paper, we proposed a new kind of mark points coded by color and a new quasi-ellipse detector on pixel level. This method is especially applicable to three- dimensional （3D） head panoramic reconstruction. Ima...In this paper, we proposed a new kind of mark points coded by color and a new quasi-ellipse detector on pixel level. This method is especially applicable to three- dimensional （3D） head panoramic reconstruction. Images of adjacent perspectives can be stitched by matching pasted color-coded mark points in overlap area to calculate the transformation matrix. This paper focuses on how the color-coded mark points work and how to detect and match corresponding points from different perspectives. Tests are performed to show the efficiency and accuracy of this method based on the original data obtained by structured light projection.展开更多
Background:Magnetic resonance imaging(MRI)is crucial in modern medical diagnostics,providing detailed insights into soft tissue structures and pathological changes.Traditional grayscale images can sometimes obscure cr...Background:Magnetic resonance imaging(MRI)is crucial in modern medical diagnostics,providing detailed insights into soft tissue structures and pathological changes.Traditional grayscale images can sometimes obscure critical details,complicating accurate interpretations.Automated color coding of the MRI signal intensities may enhance the visualization of various pa-thologies,potentially leading to improved diagnostic accuracy and image quality.This paper aims to explore the effectiveness of color-coded MR image reconstruction in enhancing both diagnostic precision and overall image quality in musculoskeletal MRI.Methods:Two fellowship-trained musculoskeletal radiologists evaluated the images reconstructed with color coding,rating their diagnostic value,image quality,and visual appeal using a five-point Likert scale.To assess interrater reliability,Cohen's Kappa statistical analysis was performed.Additionally,descriptive statistics summarizing the Likert scores for diagnostic value,image quality,and visual appeal of the reconstructed images have been described.Results:Statistical analysis of the data revealed that the diagnostic value,image value,and visual appeal of the color-coded MR images were excellent in almost two-thirds of the data set.The minimum Likert score recorded was 3,signifying a good quality rating.Conclusion:Our study shows positive results,supporting the efficiency of color-coded MR imaging in aiding the conventional gray scale MR imaging to improve its diagnostic efficiency.展开更多
Aims: To investigate the effects of a newly developed color-coded educational glucose control instruction (COLOR), combined with a color-displayed glucose meter on changes in type-2 diabetes patient’s behavior and th...Aims: To investigate the effects of a newly developed color-coded educational glucose control instruction (COLOR), combined with a color-displayed glucose meter on changes in type-2 diabetes patient’s behavior and their HbA1c levels. Material and Methods: Patients using a COLOR-self-monitoring of blood glucose (SMBG) method were instructed to record daily blood glucose levels with red (high glucose ≥ 180 mg/dL) or blue (low glucose ≤ 70 mg/dL) colored circles on their SMBG notebooks according to the colors displayed on the glucose meter. Results: COLOR-SMBG showed an improved the actual behavior modification scores by 14% compared to Conventional group at 1-month follow-up展开更多
基金Supported by the Eleventh Five-Year Pre-research Project of China.
文摘A new 3D surface contouring and ranging system based on digital fringe projection and phase shifting technique is presented. Using the phase-shift technique, points cloud with high spatial resolution and limited accuracy can be generated. Stereo-pair images obtained from two cameras can be used to compute 3D world coordinates of a point using traditional active triangulation approach, yet the camera calibration is crucial. Neural network is a well-known approach to approximate a nonlinear system without an explicit physical model, in this work it is used to train the stereo vision application system to calculating 3D world coordinates such that the camera calibration can be bypassed. The training set for neural network consists of a variety of stereo-pair images and the corresponding 3D world coordinates. The picture elements correspondence problem is solved by using projected color-coded fringes with different orientations. Color imbalance is completely eliminated by the new color-coded method. Once the high accuracy correspondence of 2D images with 3D points is acquired, high precision 3D points cloud can be recognized by the well trained net. The obvious advantage of this approach is that high spatial resolution can be obtained by the phase-shifting technique and high accuracy 3D object point coordinates are achieved by the well trained net which is independent of the camera model works for any type of camera. Some experiments verified the performance of the method.
基金Supported by the Eleventh Five-Year Pre-Research Project of China
文摘A new approach for three dimensional (3-D) shape measurement was proposed based on colorcoded fringe and neural networks. By applying the phase-shift technique to fringe projection, point clouds were generated with high spatial resolution and limited accuracy. The picture element correspondence problem was solved by using projected color-coded fringes with different orientations. Once the high accurate corresponding points were decided, high precision dense 3-D points cloud was calculated by the well trained net. High spatial resolution can be obtained by the phase-shift technique and high accuracy 3-D object point coordinates are achieved by the well trained net, which is not dependent on the camera model and will work for any type of camera. Some experiments verify the performance of this method.
文摘In this paper, we proposed a new kind of mark points coded by color and a new quasi-ellipse detector on pixel level. This method is especially applicable to three- dimensional （3D） head panoramic reconstruction. Images of adjacent perspectives can be stitched by matching pasted color-coded mark points in overlap area to calculate the transformation matrix. This paper focuses on how the color-coded mark points work and how to detect and match corresponding points from different perspectives. Tests are performed to show the efficiency and accuracy of this method based on the original data obtained by structured light projection.
文摘Background:Magnetic resonance imaging(MRI)is crucial in modern medical diagnostics,providing detailed insights into soft tissue structures and pathological changes.Traditional grayscale images can sometimes obscure critical details,complicating accurate interpretations.Automated color coding of the MRI signal intensities may enhance the visualization of various pa-thologies,potentially leading to improved diagnostic accuracy and image quality.This paper aims to explore the effectiveness of color-coded MR image reconstruction in enhancing both diagnostic precision and overall image quality in musculoskeletal MRI.Methods:Two fellowship-trained musculoskeletal radiologists evaluated the images reconstructed with color coding,rating their diagnostic value,image quality,and visual appeal using a five-point Likert scale.To assess interrater reliability,Cohen's Kappa statistical analysis was performed.Additionally,descriptive statistics summarizing the Likert scores for diagnostic value,image quality,and visual appeal of the reconstructed images have been described.Results:Statistical analysis of the data revealed that the diagnostic value,image value,and visual appeal of the color-coded MR images were excellent in almost two-thirds of the data set.The minimum Likert score recorded was 3,signifying a good quality rating.Conclusion:Our study shows positive results,supporting the efficiency of color-coded MR imaging in aiding the conventional gray scale MR imaging to improve its diagnostic efficiency.
文摘Aims: To investigate the effects of a newly developed color-coded educational glucose control instruction (COLOR), combined with a color-displayed glucose meter on changes in type-2 diabetes patient’s behavior and their HbA1c levels. Material and Methods: Patients using a COLOR-self-monitoring of blood glucose (SMBG) method were instructed to record daily blood glucose levels with red (high glucose ≥ 180 mg/dL) or blue (low glucose ≤ 70 mg/dL) colored circles on their SMBG notebooks according to the colors displayed on the glucose meter. Results: COLOR-SMBG showed an improved the actual behavior modification scores by 14% compared to Conventional group at 1-month follow-up
