Automatic color accuracy tests for camera performance comparison

Date

2018-05-05

Author

HASARPA, Alican
Akar, Gözde

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

175
views

0
downloads

There are numerous criteria which are being used to measure camera performance and for determining such criteria, different tests are applied in different test environments. Within this framework, color accuracy testing at camera performance is one of foremost of such tests. In the scope of this paper, a method has been proposed to reduce user interaction in the color accuracy tests in the literature. At the same time, with the color constancy concept, it has been shown that color variation between the different test setups should also be considered as an important criterion on the camera performance.

Subject Keywords

Camera, Performance, Color, Test

URI

https://hdl.handle.net/11511/49307

DOI

https://doi.org/10.1109/siu.2018.8404446

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

APPLICATION AND COMPARISON OF MULTISTAGE TRIAXIAL COMPRESSION TEST PROCEDURES ON RECONSTITUTED ANKARA CLAY VAKILINEZHAD, AMIRAHMAD; Toker, Nabi Kartal; Department of Civil Engineering (2022-5-11) The ability to conduct conventional triaxial compression tests on multiple identical specimens is restricted by available sample quantity, sample homogeneity, as well as testing duration. Multistage triaxial testing is an alternative method to tackle this issue by using a single specimen, sheared under different confining stresses to attain the strength parameters. Although there are widely accepted procedures to decide when to stop each shearing stage and proceed to the next stress level, the applicability...
Lab on a chip: A versatile integration with spectroscopic techniques Eryılmaz, Merve; Yıldırım, Ender; Tamer, Uğur (Elsevier Science, 2020-08-01) In the field of biomolecule detection, there are many conventional methods; however, there is a demand for applications that are more sensitive, accurate, and capable of analyzing small sample volumes. Lab-on-a-chip (LOC) devices are promising multifunctional tools for these purposes and the combination of LOC with spectroscopy provides rapid and reliable biomolecule detection. In the LOC system, a high number of analytes can be also detected simultaneously and LOC devices are preferred for both labeled and...
Basic thresholding classification Toksöz, Mehmet Altan; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2016) In this thesis, we propose a light-weight sparsity-based algorithm, basic thresholding classifier (BTC), for classification applications (such as face identification, hyperspectral image classification, etc.) which is capable of identifying test samples extremely rapidly and performing high classification accuracy. Originally BTC is a linear classifier which works based on the assumption that the samples of the classes of a given dataset are linearly separable. However, in practice those samples may not be ...
Accuracy Barrier (ACCBAR): A novel performance indicator for binary classification Canbek, Gurol; Taşkaya Temizel, Tuğba; SAĞIROĞLU, ŞEREF (2022-01-01) Although several binary classification performance metrics have been defined, a few of them are used for performance evaluation of classifiers and performance comparison/reporting in the literature. Specifically, F1 and Accuracy (ACC) are the most known and conventionally used metrics. Despite their popularity and easy-to-understand characteristics, those metrics exhibit critical robustness issues. This paper suggests a new instrument category named 'performance indicators' and proposes a novel indicator na...
Evaluation of UAS Camera Operator Interfaces in a Simulated Task Environment An Optical Brain Imaging Approach Çakır, Murat Perit; Akay, Daryal; Ayaz, Hasan; İşler, Veysi (null; 2012-07-11) In this paper we focus on the effect of different interface designs on the performance and cognitive workload of sensor operators (SO) during a target detection task in a simulated environment. Functional near-infrared (fNIR) spectroscopy is used to investigate whether there is a relationship between target detection performance across three SO interfaces and brain activation data obtained from the subjects’ prefrontal cortices that are associated with relevant higher-order cognitive functions such as atten...

Citation Formats

A. HASARPA and G. Akar, “Automatic color accuracy tests for camera performance comparison,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49307.