Monochrome Image Presentation and Segmentation Based on the Pseudo-Color and PCT Transformations

2001 ◽  
Author(s):  
H. Tang ◽  
Ed X. Wu ◽  
D. Gallagher ◽  
S. B. Heymsfield
Keyword(s):  
Image Presentation ◽  
Monochrome Image ◽  
Pseudo Color

Examining the Effects of Facial Expression and Image Presentation on Mood

2020 ◽  
Author(s):  
Adam Radwan Omary ◽  
Madeline Maeloa
Keyword(s):  
Facial Expression ◽  
Mood Induction ◽  
Emotional Valence ◽  
Small Scale ◽  
Slight Effect ◽  
Mood Change ◽  
Significant Interaction Effect ◽  
Priming Effects ◽  
Image Presentation ◽  
Image Rating

Existing research shows that “pleasant” or “unpleasant” moods can be primed by presenting participants with “pleasant” or “unpleasant” images (Avero & Calvo, 2006), and that stronger priming effects are induced by images as opposed to text (Powell et al., 2015). However, no previous research shows whether or not mood induction effects may differ based on image presentation format. Therefore, the present work aimed to test this hypothesis, by presenting participants (N = 145) with either standalone or grouped images, displaying either positive or negative facial expressions. We found that both facial expression and image presentation had a significant effect on participants’ average ratings of the emotional valence of the images, including a significant interaction effect. However, only facial expression had a significant effect on mood change. We found a slight correlation (r = .298) between image rating and mood change, suggesting that image presentation may have a slight effect on mood change that was unable to be observed in this small-scale study.

Color image analysis for vehicle speed measurement

1993 ◽  
Vol 20 (2) ◽  
pp. 228-235 ◽  
Author(s):  
Yean-Jye Lu ◽  
Xidong Yuan
Keyword(s):  
Image Analysis ◽  
Traffic Control ◽  
Road Traffic ◽  
Color Image ◽  
Image Data ◽  
Difficult Problem ◽  
Vehicle Speed ◽  
Color Image Analysis ◽  
Speed Measurement ◽  
Monochrome Image

Image analysis for traffic data collection has been studied throughout the world for more than a decade. A survey of existing systems shows that research was focused mainly on the monochrome image analysis and that the field of color image analysis was rarely studied. With the application of color image analysis in mind, this paper proposes a new algorithm for vehicle speed measurement in daytime. The new algorithm consists of four steps: (i) image input, (ii) pixel analysis, (iii) single image analysis, and (iv) image sequence analysis. It has three significant advantages. First, the algorithm can distinguish the shadows caused by moving vehicles outside the detection area from the actual vehicles passing through the area, which is a difficult problem for the monochrome image analysis technique to handle. Second, the algorithm significantly reduces the image data to be processed; thus only a personal computer is required without the addition of any special hardware. The third advantage is the flexible placement of detection spots at any position in the camera's field of view. The accuracy of the algorithm is also discussed. Key words: speed measurement, vehicle detection, image analysis, image processing, traffic control, traffic measurement and road traffic.

scholarly journals Restoration method of sootiness mural images based on dark channel prior and Retinex by bilateral filter

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Ning Cao ◽  
Shuqiang Lyu ◽  
Miaole Hou ◽  
Wanfu Wang ◽  
Zhenhua Gao ◽  
...  
Keyword(s):  
Near Infrared ◽  
Environmental Changes ◽  
Color Image ◽  
Visual Quality ◽  
Bilateral Filter ◽  
Dark Channel Prior ◽  
Infrared Band ◽  
Dark Channel ◽  
Restoration Method ◽  
Pseudo Color

AbstractEnvironmental changes and human activities can cause serious degradation of murals, where sootiness is one of the most common problems of ancient Chinese indoor murals. In order to improve the visual quality of the murals, a restoration method is proposed for sootiness murals based on dark channel prior and Retinex by bilateral filter using hyperspectral imaging technology. First, radiometric correction and denoising through band clipping and minimum noise fraction rotation forward and inverse transform were applied to the hyperspectral data of the sootiness mural to produce its denoised reflectance image. Second, a near-infrared band was selected from the reflectance image and combined with the green and blue visible bands to produce a pseudo color image for the subsequent sootiness removal processing. The near-infrared band is selected because it is better penetrating the sootiness layer to a certain extent comparing to other bands. Third, the sootiness covered on the pseudo color image was preliminarily removed by using the method of dark channel prior and by adjusting the brightness of the image. Finally, the Retinex by bilateral filter was performed on the image to get the final restored image, where the sootiness was removed. The results show that the images restored by the proposed method are superior in variance, average gradient, information entropy and gray scale contrast comparing to the results from the traditional methods of homomorphic filtering and Gaussian stretching. The results also show the highest score in comprehensive evaluation of edges, hue and structure; thus, the method proposed can support more potential studies or sootiness removal in real mural paintings with more detailed information. The method proposed shows strong evidence that it can effectively reduce the influence of sootiness on the moral images with more details that can reveal the original appearance of the mural and improve its visual quality.

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.

Sign in / Sign up

Export Citation Format

Share Document