Detection of iris in images using brightness gradient projections

2011 ◽  
Vol 21 (1) ◽  
pp. 41-44 ◽  
Author(s):  
I. A. Matveev
1983 ◽  
Vol 66 ◽  
pp. 139-150
Author(s):  
J. Rösch ◽  
R. Yerle

AbstractBecause of the renewed attention now paid to the solar diameter, its variations from equator to pole, or its secular or long-period changes, the question: what is a solar diameter? is not meaningless. Two kinds of definitions may be given: either astrophysical, each one relating to a specific physical parameter, or observational, relating to a given quantity to be measured. Only the second kind is directly accessible, and astrophysical definitions should be linked to these quantities, once they are determined with the highest possible accuracy. In practice, all the programs under way refer to the point of the limb where the brightness gradient is maximum, or to a higher order approximation of the shape of the profile. Two of them are compared: the Pic-du-Midi experiment, using fast scans of the limb to define the inflection point after a correction for the blurring effect of the atmosphere, and the SCLERA experiment, using the algorithm called FFTD to eliminate this correction. The advantage of a fast scan is emphasized, and the remark is formulated that, once the signal is digitized and stored, FFTD or any processing of it can be performed. In collecting day-long one-limb scans to calibrate the blurring correction, the authors have found fluctuations of the maximum brightness gradient which provide a new entry to the field of solar oscillations.


2017 ◽  
Vol 26 (07) ◽  
pp. 1750107 ◽  
Author(s):  
Raahat Devender Singh ◽  
Naveen Aggarwal

In the wake of widespread proliferation of inexpensive and easy-to-use digital content editing software, digital videos have lost the idealized reputation they once held as universal, objective and infallible evidence of occurrence of events. The pliability of digital content and its innate vulnerability to unobtrusive alterations causes us to become skeptical of its validity. However, in spite of the fact that digital videos may not always present a truthful picture of reality, their usefulness in today’s world is incontrovertible. Therefore, the need to verify the integrity and authenticity of the contents of a digital video becomes paramount, especially in critical scenarios such as defense planning and legal trials where reliance on untrustworthy evidence could have grievous ramifications. Inter-frame tampering, which involves insertion/removal/replication of sets of frames into/from/within a video sequence, is among the most un-convoluted and elusive video forgeries. In this paper, we propose a potent hybrid forensic system that detects inter-frame forgeries in compressed videos. The system encompasses two forensic techniques. The first is a novel optical flow analysis based frame-insertion and removal detection procedure, where we focus on the brightness gradient component of optical flow and detect irregularities caused therein by post-production frame-tampering. The second component is a prediction residual examination based scheme that expedites detection and localization of replicated frames in video sequences. Subjective and quantitative results of comprehensive tests on an elaborate dataset under diverse experimental set-ups substantiate the effectuality and robustness of the proposed system.


Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 315-315
Author(s):  
N Podvigin ◽  
N Kiseleva ◽  
A Chizh ◽  
G Novikov ◽  
T R Moshonkina

We investigated neuronal mechanisms in the cat's dorsal LGN that could carry information about the spatial brightness distribution across half-tone visual object surfaces. Stimuli were halftone spheres, cylinders, toroids, etc. We have found that geniculate neuronal structures describe and estimate both local and global characteristics of the brightness distribution on these surfaces. The search for local mechanisms of perception of half-tone surfaces revealed a new property of geniculate neurons: their sensitivity to changes in both the magnitude and vector direction of the spatial brightness gradient in the test stimulus. The quantitative estimation of gradient sensitivity in each case has been calculated by the formula: K=( Nmax- Nmin)/ Nmax, where Nmax is the number of spikes (in a 500 ms interval) in response to the preferred (and Nmin to the nonpreferred) gradient direction. The average value of K was 0.49 (range 0.15 – 0.95) for a mean brightness gradient of 2.7 cd m−2 deg−1. A ninefold decrease of the gradient reduced K by a factor of 6.5. The preferred direction of most (82%) neurons coincided with the radial direction from the centre of the receptive field to area centralis. The basis of this phenomenon probably lies in the influence of the spatial brightness gradient on spatiotemporal relations between excitatory and inhibitory processes in geniculate receptive fields. Global characteristics of the surface brightness distribution were represented in the population response of the neurons. The pattern of neuronal activity elicited in on-neurons and off-neurons in response to surface stimuli correlated with the isophot structure of the surface ( rav=0.86 for 23 cases). Therefore, separate descriptions of local and global brightness distributions originate at subcortical levels of the visual system.


2021 ◽  
pp. 107986
Author(s):  
Yu Sang ◽  
Shihui Zhang ◽  
Huan He ◽  
Qunpeng Li ◽  
Xiaowei Zhang

1988 ◽  
Vol 123 ◽  
pp. 429-432
Author(s):  
B. Schmieder ◽  
P. Mein

The aim of this work is to compute the amplitude of the limb darkening fluctuations due to oscillations in order to compare with the observations made with the heliometer at the Pic du Midi (Rösch and Yerle 1983–1984). It is shown that 5 min oscillations lead to variation in the brightness gradient of less than 2%.


2015 ◽  
Vol 770 ◽  
pp. 501-504
Author(s):  
L.V. Antonov ◽  
A.A. Orlov

In this work, the necessity of automatic processing of images of micro-and nanostructures is shown. A method for preliminary processing of such images for reliable separation of inseparable structures in them is developed. The method is based on a more accurate calculation of the brightness gradient and enhancement of image boundaries. The results of processing a photograph of a nanostructure are presented.


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