Optical Pseudo-Color Processing For Moved Objects

1979 ◽  
Author(s):  
Oichi Atoda
Keyword(s):  
Color Processing ◽  
Pseudo Color

Interactive System Based on Leap Motion for 3D Medical Model

2021 ◽  
Vol 51 ◽  
pp. 131-140
Author(s):  
Ruo Xiu Xiao ◽  
Jia Yu Wang ◽  
Tao Zhang ◽  
Ke Meng ◽  
Li Qun Cao ◽  
...  
Keyword(s):  
3D Structure ◽  
Medical Model ◽  
Interactive System ◽  
Leap Motion ◽  
Color Processing ◽  
Operating Environments ◽  
Future System ◽  
Gesture Control ◽  
Pseudo Color ◽  
Space Occupation

An interactive visualization of the patients’ 3D medical anatomical model as guide is often helpful for doctors during complex surgery. However, there are certain limitations according to the actual requirements of building sterile operating environment. Traditional human–computer interaction tools (mouse and keyboard) must be disinfected regularly and cannot be used in the process. A noncontact gesture control medical model based on Leap Motion is proposed in this study. The gesture is recognized and localized without using mouse and keyboards through a binocular camera assembled on Leap Motion. Hence, the model is directly controlled by the gesture to complete the operation of rotation, zoom, and other functions. In this study, a 3D heart model is combined with pseudo-color processing technology to enhance the observability of its 3D structure. Gesture recognition technology is then utilized to control the rendered model as rotation and zoom. Experimental results show that our system has an absolute accuracy in recognizing circle, swipe, and other actions. Thus, rotation is proposed as a new motion that can be identified steadily. Rotation plays an essential role in usability, intuition, and interactive efficiency of future system design. The system is applicable to sterile operating environments due to its stable recognition process and small space occupation.

An Image Fusion Algorithm Based on Pseudo-Color

2012 ◽  
Vol 433-440 ◽  
pp. 5436-5442
Author(s):  
Lei Li
Keyword(s):  
Image Fusion ◽  
Color Image ◽  
Target Identification ◽  
Fusion Image ◽  
Fusion Algorithm ◽  
Color Processing ◽  
False Color ◽  
Fused Image ◽  
Color Fusion ◽  
Pseudo Color

The pseudo-color processing for target identification and tracking is very meaningful Experimental results show that the pseudo-color image fusion is a very effective methods. This paper presents a false color image fusion based on the new method. Fusion using wavelet transform grayscale images, find the gray fused image and the difference between the original image, respectively, as the image of l, α, β components are color fusion image, and then after the color transformation, the final false color fused image. The results showed that the color fusion image colors more vivid, more in line with human visual characteristics.

Enhancement of Angiogram Images Using Pseudo Color Processing

2007 ◽  
Vol 7 (1) ◽  
pp. 210-214 ◽  
Author(s):  
Mohammad A.U. Khan ◽  
Rabya Bahadur Kh ◽  
Shahid Bilal ◽  
Asad Jamil ◽  
Mehr Ali Shah
Keyword(s):  
Color Processing ◽  
Pseudo Color

scholarly journals Study on Bohai sea ice based on MODIS data

2018 ◽  
Vol 53 ◽  
pp. 03038
Author(s):  
Zhou ye ◽  
Fan Zhaopeng
Keyword(s):  
Sea Ice ◽  
Bohai Sea ◽  
Ice Age ◽  
Landsat Data ◽  
Color Processing ◽  
Modis Data ◽  
Whole Process ◽  
Pseudo Color ◽  
Ice Model ◽  
The Ideal

Based on MODIS L1B data, we identify information of sea ice area, peripheral line and density, and also use Landsat data with higher resolution to verify the results obtained from MODIS data. Using pseudo color processing technology is more intuitive and more clear to show the various information of the Bohai sea. The whole process of sea ice information extraction is described in detail from MODIS data downloads to image processing and analysis. The selected data basically cover the entire process from the initial ice age, the peak ice age to the final ice age. The ideal results are obtained, and it also shows that the MODIS satellite data is feasible to monitor sea ice, which provides a reference for the establishment of monitoring sea ice model.

A Novel Multi-Planar Fusion System for PET/CT Images

2013 ◽  
Vol 373-375 ◽  
pp. 608-612
Author(s):  
Zhen Wei Li ◽  
Xiao Li Yang ◽  
Wei Dong Song
Keyword(s):  
Ct Images ◽  
Fusion System ◽  
Color Processing ◽  
Pet Ct ◽  
Dicom Header ◽  
Stable Performance ◽  
Malignant Lesions ◽  
Pseudo Color ◽  
Ct Slices ◽  
Ct Volume

Objective To propose a PET/CT multi-planar fusion system based on PACS. Methods Firstly, the system got PET and CT slices and relevant DICOM header information from PACS workstation, preprocessed them and formed CT volume and PET volume, and then displayed the axial, coronal and sagittal planes of the two volumes by MPR. Afterwards, the results of MPR were enhanced by pseudo color processing, then were fused with the MRP results of CT correspondingly. Finally, the SUVs of PET images and the CT value of CT images were calculated according to the parameters obtained from the DICOM header, and were displayed in the lower right corner of the current sub window. Results This system can be integrated into PACS workstation expediently, can reconstruct each volume, either MPR or MIP, stably and effectively, and can fuse PET images with CT images in different planes. The resource consumption of the system is reasonable and the SUVs calculated were accurate and reliable. Conclusion The system is easy to use and has stable performance, which is helpful in the clinical diagnosis of malignant lesions as an auxiliary tool.

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