Retinex Enhancement Algorithm for Low Intensity Images Based on HSI Space

鑫 宋

doi:10.12677/jisp.2017.61004

Development of the Youth Emotion Picture Set

Perception ◽

10.1177/0301006618797226 ◽

2018 ◽

Vol 47 (10-11) ◽

pp. 1029-1042 ◽

Cited By ~ 4

Author(s):

Bruno Novello ◽

Anelise Renner ◽

Guilherme Maurer ◽

Soraia Musse ◽

Adriane Arteche

Keyword(s):

Facial Expression ◽

Facial Expressions ◽

Initial Screening ◽

Software Validation ◽

Data Set ◽

Basic Emotions ◽

Low Intensity ◽

Intensity Images ◽

Image Set ◽

Final Selection

Several facial expression image sets have been developed. Nevertheless, there is a lack of facial expression sets comprising adolescents’ images depicting all basic emotions. This study aimed to fill this gap through the development of an image database of youth facial expressions, containing pictures of six basic emotions plus neutral. Posed and spontaneous expressions were collected from 31 youths, 12 to 20 years old; 2,279 frames were obtained, and an initial screening was conducted through the exclusion of similar frames, low intensity images, and ambiguous or blended expressions; 256 frames met criteria and were rechecked by two expert judges. Images were retained if they depicted all the prototypical features of the designated expression. A final selection was conducted to assure an image set that covered all age ranges, both sexes and an even number of images by expression, resulting in 42 frames (21 male, six of each emotion). Expert judges, independent adults, independent teenagers, and a software validation were used to assure database validity. Agreement across raters was high, and no differences were observed for posed and spontaneous images. The data set developed in this study can be a valid tool in studies of facial expressions, in particular, with adolescents’ samples.

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MELEXIR: maximum entropy Legendre expanded image reconstruction. A fast and efficient method for the analysis of velocity map imaging or photoelectron imaging data

Physical Chemistry Chemical Physics ◽

10.1039/c9cp03353j ◽

2019 ◽

Vol 21 (35) ◽

pp. 19499-19512 ◽

Cited By ~ 2

Author(s):

Bernhard Dick

Keyword(s):

Velocity Distribution ◽

Maximum Entropy ◽

Efficient Method ◽

Velocity Map Imaging ◽

Imaging Data ◽

Photoelectron Imaging ◽

Low Intensity ◽

Intensity Images ◽

Legendre Expansion ◽

2D Images

The MELEXIR program obtains a Legendre expansion of the 3D velocity distribution from 2D images of ions or photoelectrons. The maximum entropy algorithm avoids inverse Abel transforms, is fast and applicable to low-intensity images.

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To Reappraise or Not to Reappraise? Emotion Regulation Choice and Cognitive Energetics

10.31234/osf.io/j4ak5 ◽

2018 ◽

Author(s):

Maxim Milyavsky ◽

David Webber ◽

Jessica Fernandez ◽

Arie W. Kruglanski ◽

Amit Goldenberg ◽

...

Keyword(s):

Emotion Regulation ◽

Driving Force ◽

Cognitive Process ◽

Task Difficulty ◽

Cognitive Reappraisal ◽

Emotional Intensity ◽

Low Intensity ◽

Intensity Images ◽

Restraining Force ◽

Cognitive Energetics Theory

Research shows that cognitive reappraisal is an effective emotion regulation (ER) strategy that often has clear benefits. Yet, surprisingly, recent findings demonstrate that people use cognitive reappraisal less frequently than might be expected (Suri, Whittaker & Gross, 2015). We employ cognitive energetics theory (CET) to explain this puzzling behavior. CET posits that the likelihood of launching any cognitive process is a function of two opposing forces: the driving force (i.e., the motivation to launch the process) and the restraining force (i.e., task difficulty). We thus hypothesized that people choose to use cognitive reappraisal relatively rarely because of the difficulty of implementing it. We also postulated that the decision to reappraise (or not) does not simply depend on stimuli emotional intensity because the latter is associated with both the driving and the restraining forces. In support of our hypotheses, we found that when the images’ emotional intensity posed difficulty for reappraisal (i.e. highly intense images) reducing this difficulty by asking participants to merely predict others’ (Study 1) or their own choices (Study 2), increased reappraisal choice. Finally, in Study 3, we showed that a relatively easy to implement reappraisal strategy was chosen more often than the more difficult one for high (but not low) intensity images. These findings illustrate the relevance of a CET-based motivational analysis to emotion regulation choice.

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Two structural states of the Z-band in cardiac and skeletal muscle

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100157097 ◽

1989 ◽

Vol 47 ◽

pp. 1022-1023

Author(s):

J.P. Schroeter ◽

M.A. Goldstein ◽

J.P. Bretaudiere ◽

L.H. Michael ◽

R.L. Sass

Keyword(s):

Skeletal Muscle ◽

Cross Section ◽

Real Space ◽

Contractile State ◽

Contour Maps ◽

False Color ◽

Grey Scale ◽

Fourier Filtering ◽

Cardiac Muscles ◽

Enhancement Algorithm

We have recently established the existence of two structural states of the Z band lattice in cross section in cardiac as well as in skeletal muscle. The two structural states are related to the contractile state of the muscle. In skeletal muscle at rest, the Z band is in the small square (ss) lattice form, but tetanized muscle exhibits the basket weave (bw) form. In contrast, unstimu- lated cardiac muscle exhibits the bw form, but cardiac muscles exposed to EGTA show the ss form.We have used two-dimensional computer enhancement techniques on digitized electron micrographs to compare each lattice form as it appears in both cardiac and skeletal muscle. Both real space averaging and fourier filtering methods were used. Enhanced images were displayed as grey-scale projections, as contour maps, and in false color.There is only a slight difference between the lattices produced by the two different enhancement techniques. Thus the information presented in these images is not likely to be an artifact of the enhancement algorithm.

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