Estimation of the Efficiency of Digital Camera Photosensor Noise Measurement Through the Automatic Segmentation of Non-Uniform Target Methods and the Standard EMVA 1288

Abstract

This paper discusses the problem of characterizing digital cameras and the determination of their noise characteristics, which is relevant for contemporary photographic equipment. The issues of limiting the accuracy of data obtained with digital cameras, related to the photosensor noise, are also highlighted. The European Machine Vision Association standard EMVA 1288 for measurement and presentation of specifi cations for machine vision sensors and cameras, and fast automatic segmentation of non-uniform target (ASNT) noise estimation methods are compared. The noise characteristics of the photosensors of the machine vision camera PixeLink PL-B781F, scientifi c camera Retiga R6, and amateur camera Canon EOS M100 are investigated. The accuracies of the measurement results and speed of calculation and the method implementation are also analyzed. The assessment of the temporal noise revealed that the ASNT method is not inferior in terms of accuracy compared to the standard method and can be implemented signifi cantly faster, even with additional images taken into account for accuracy improvement.

Performance Evaluation of Micro Automatic Pressure Measurement Sensor for Enhanced Accuracy

“…The report indicates that the global biosensor market will grow rapidly in the next six years. In 2014, the market value of biosensors was $12.9 billion, and by 2020, the market value will increase to $22.5 billion, with a compound annual growth rate of 9.7% [9,10]. Among them, biosensors have the most applications in the POCT field, and the demand is also the largest and has been increasing continuously [11].…”