brightness enhancement
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2021 ◽  
Author(s):  
Mingsong Chen ◽  
Zuwei Ouyang ◽  
Qieshi Zhang ◽  
Ziliang Ren ◽  
Jun Cheng ◽  
...  

Author(s):  
Andrea Adriano ◽  
Luca Rinaldi ◽  
Luisa Girelli

AbstractThe visual mechanisms underlying approximate numerical representation are still intensely debated because numerosity information is often confounded with continuous sensory cues (e.g., texture density, area, convex hull). However, numerosity is underestimated when a few items are connected by illusory contours (ICs) lines without changing other physical cues, suggesting in turn that numerosity processing may rely on discrete visual input. Yet, in these previous works, ICs were generated by black-on-gray inducers producing an illusory brightness enhancement, which could represent a further continuous sensory confound. To rule out this possibility, we tested participants in a numerical discrimination task in which we manipulated the alignment of 0, 2, or 4 pairs of open/closed inducers and their contrast polarity. In Experiment 1, aligned open inducers had only one polarity (all black or all white) generating ICs lines brighter or darker than the gray background. In Experiment 2, open inducers had always opposite contrast polarity (one black and one white inducer) generating ICs without strong brightness enhancement. In Experiment 3, reverse-contrast inducers were aligned but closed with a line preventing ICs completion. Results showed that underestimation triggered by ICs lines was independent of inducer contrast polarity in both Experiment 1 and Experiment 2, whereas no underestimation was found in Experiment 3. Taken together, these results suggest that mere brightness enhancement is not the primary cause of the numerosity underestimation induced by ICs lines. Rather, a boundary formation mechanism insensitive to contrast polarity may drive the effect, providing further support to the idea that numerosity processing exploits discrete inputs.


2021 ◽  
Author(s):  
Chenchen Fan ◽  
Yizhu Chen ◽  
Tianfu Yao ◽  
Hu Xiao ◽  
Xu Jiangming ◽  
...  

OSA Continuum ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1034
Author(s):  
Alexey G. Kuznetsov ◽  
Sergey I. Kablukov ◽  
Evgeny V. Podivilov ◽  
Sergey A. Babin

2021 ◽  
Vol 46 (5) ◽  
pp. 1185
Author(s):  
Yizhu Chen ◽  
Chenchen Fan ◽  
Tianfu Yao ◽  
Hu Xiao ◽  
Jinyong Leng ◽  
...  

2021 ◽  
Vol 11 (5) ◽  
pp. 2038
Author(s):  
Huiping Gao ◽  
Guili Xu

In this paper, a novel method for the effective extraction of the light stripes in rail images is proposed. First, a preprocessing procedure that includes self-adaptive threshold segmentation and brightness enhancement is adopted to improve the quality of the rail image. Secondly, center of mass is utilized to detect the center point of each row of the image. Then, to speed up the procedure of centerline optimization, the detected center-points are segmented into several parts based on the geometry of the rail profile. Finally, piecewise fitting is adopted to obtain a smooth and robust centerline. The performance of this method is analyzed in detail, and experimental results show that the proposed method works well for rail images.


2021 ◽  
Vol 52 (S1) ◽  
pp. 168-168
Author(s):  
Maksym F Prodanov ◽  
Chengbin Kang ◽  
Cheng Chun Hin ◽  
Yiyang Gao ◽  
Swadesh Kumar Gupta ◽  
...  

Author(s):  
Wojciech Piotrowski ◽  
Linda Dalipi ◽  
Rafal Szukiewicz ◽  
Benoit Fond ◽  
Miroslav Dramićanin ◽  
...  

Despite the numerous advantages of lanthanide based luminescent thermometers, a major limitation is the limited brightness associated with the low absorption cross section of the 4f-4f transitions. In this paper,...


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