scholarly journals Implementing a Stereo Image Correction Method for 3D Surgery Microscopes

2016 ◽  
Vol 2016 (1) ◽  
pp. 159-172
Author(s):  
Jiyoung Yoon ◽  
Nakhoon Baek ◽  
Cheolhwan Kim ◽  
Hwanyong Lee ◽  
◽  
...  
Keyword(s):  
Correction Method ◽  
Stereo Image ◽  
Image Correction ◽  
3D Surgery

LED Display Image Correction Based on Computer Simulation

2012 ◽  
Vol 182-183 ◽  
pp. 1751-1755
Author(s):  
Xi Feng Zheng ◽  
Feng Chang
Keyword(s):  
Computer Simulation ◽  
Correction Method ◽  
Experimental Results ◽  
Image Correction ◽  
The Third

For the purposes of correcting the LED display image, a method based on computer simulation is proposed. First, the development of the LED display panel is introduced. Second, analyze the causes of the problem which image in LED display panel has serious high non-uniformity, and introduce the existed correction techniques which are used to reduce the non-uniformity of LED display image. Simultaneously, point out the ground for shortcomings of these techniques. Third, describe the principle of correction method based on computer simulation detail from two steps, which are the luminous collection and luminous copulation. Forth, describe the realization steps of this method in accordance with the third step. Finally, this method is supplied in a LED display panel, whose resolution is 640×480. Experimental results show that this method is able to reduce the non-uniformity of images from 11.06% to 0.98%..

scholarly journals A simple image correction method for high-throughput microscopy

2014 ◽  
Vol 11 (6) ◽  
pp. 602-602 ◽  
Author(s):  
Adam D Coster ◽  
Chonlarat Wichaidit ◽  
Satwik Rajaram ◽  
Steven J Altschuler ◽  
Lani F Wu
Keyword(s):  
High Throughput ◽  
Correction Method ◽  
Image Correction

scholarly journals Accurate binocular stereo underwater measurement method

2019 ◽  
Vol 16 (5) ◽  
pp. 172988141986446
Author(s):  
Xiaojun Wu ◽  
XingCan Tang
Keyword(s):  
Measurement Accuracy ◽  
Calibration Method ◽  
Correction Method ◽  
Image Correction ◽  
Underwater Imaging ◽  
Epipolar Constraint ◽  
Imaging Model ◽  
Internal Parameters ◽  
Extrinsic Parameters ◽  
Binocular Stereo

Light changes its direction of propagation before entering a camera enclosed in a waterproof housing owing to refraction, which means that perspective imaging models in the air cannot be directly used underwater. In this article, we propose an accurate binocular stereo measurement system in an underwater environment. First, based on the physical underwater imaging model without approximation and Tsai’s calibration method, the proposed system is calibrated to acquire the extrinsic parameters, as the internal parameters can be pre-calibrated in air. Then, based on the calibrated camera parameters, an image correction method is proposed to convert the underwater images to air images. Thus, the epipolar constraint can be used to search the matching point directly. The experimental results show that the proposed method in this article can effectively eliminate the effect of refraction in the binocular vision and the measurement accuracy can be compared with the measurement result in air.

Warped document image correction method based on heterogeneous registration strategies

2013 ◽  
Author(s):  
Lijing Tong ◽  
Guoliang Zhan ◽  
Quanyao Peng ◽  
Yang Li ◽  
Yifan Li
Keyword(s):  
Correction Method ◽  
Document Image ◽  
Image Correction

Correcting Distortion of Images from Non-Metric Camera

2014 ◽  
Vol 543-547 ◽  
pp. 2458-2461
Author(s):  
Hong Xia Cui ◽  
Yan Wei Cai
Keyword(s):  
Correction Method ◽  
Image Correction ◽  
Ccd Cameras ◽  
The Real ◽  
Implicit Model ◽  
Calibration Methods ◽  
Distortion Parameters

Photogrammetric calibration methods for digital CCD cameras are usually capable of acquiring explicit distortion parameters. However, it would cause the correcting results to be less accurate due to irregular array with explicit image correction method. In order to produce images with less distortion, an implicit model was proposed in this paper. Moreover, the model was applied to correct images from a non-metric camera. The real tests with images indicate the improvement is more obvious in eliminating distortion on images.

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