High resolution 3D image reconstruction in laminar optical tomography based on compressive sensing

2014 ◽  
Author(s):  
Fugang Yang ◽  
Mehmet S. Ozturk ◽  
Wenxiang Cong ◽  
Ge Wang ◽  
Xavier Intes
Keyword(s):  
High Resolution ◽  
Image Reconstruction ◽  
Compressive Sensing ◽  
Optical Tomography ◽  
3D Image ◽  
3D Image Reconstruction

Fast 3D image reconstruction algorithm based on artificial intelligence technology

2021 ◽  
pp. 002072092098504
Author(s):  
An Weigang ◽  
Pan Jinxiao
Keyword(s):  
Artificial Intelligence ◽  
High Resolution ◽  
Image Reconstruction ◽  
Three Dimensional ◽  
Feature Analysis ◽  
3D Image ◽  
3D Images ◽  
Dimensional Image ◽  
Fine Grained ◽  
3D Image Reconstruction

In order to improve the 3D reconstruction capability of high-resolution fine-grained 3D images, a fast 3D image reconstruction algorithm based on artificial intelligence technology is proposed. The cross-gradient sharpening detection method is used to collect features and extract information from high-resolution fine-grained three-dimensional images, and establish an edge contour feature detection model for high-resolution fine-grained three-dimensional images. Combining the salient feature analysis method and the subspace feature analysis method to cluster and analyze the high-resolution fine-grained three-dimensional image. In the artificial intelligence environment, the saliency of the three-dimensional image is detected and analyzed, and the multi-dimensional segmentation and gray histogram of the high-resolution fine-grained three-dimensional image are reconstructed through the subspace segmentation method. According to the reconstruction results of the gray histogram, fast 3D image reconstruction and image fusion processing are performed. Finally, the accurate detection and recognition of the reconstructed image is realized. The simulation results show that this method has a good effect on 3D image reconstruction, and the time cost of image reconstruction is relatively short. It improves the recognition and feature analysis capabilities of high-resolution fine-grained 3D images, and has good application value in the reconstruction, detection and recognition of high-resolution fine-grained 3D images.

A line scan camera based stereo method for high resolution 3D image reconstruction

2014 ◽  
Author(s):  
Pengchang Zhang ◽  
Tomoyuki Takeda ◽  
Jay Arre Toque ◽  
Yusuke Murayama ◽  
Ari Ide-Ektessabi
Keyword(s):  
High Resolution ◽  
Image Reconstruction ◽  
3D Image ◽  
Line Scan ◽  
3D Image Reconstruction

3D Image Reconstruction System for Cancerous Tumors Analysis Based on Diffuse Optical Tomography with Blender

2018 ◽  
pp. 157-166
Author(s):  
Marco Antonio Ramírez-Salinas ◽  
Luis Alfonso Villa-Vargas ◽  
Neiel Israel Leyva-Santes ◽  
César Alejandro Hernández-Calderón ◽  
Sael González-Romero ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
3D Image ◽  
3D Image Reconstruction
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