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DTSTART;TZID=Europe/Berlin:20241008T100000
DTEND;TZID=Europe/Berlin:20241010T164500
DTSTAMP:20260421T025332
CREATED:20241002T131616Z
LAST-MODIFIED:20241028T151513Z
UID:10000002-1728381600-1728578700@www.imatest.com
SUMMARY:Imatest Presented at AutoSens Europe 2024
DESCRIPTION:Imatest attended AutoSens Europe on October 8-10\, 2024 in Barcelona\, Spain. We presented our advanced testing methods and algorithms for validating the quality of automotive cameras. \n  Watch On Demand AutoSens Europe Website \nVirtually Visit Imatest’s Booth\n\n			\n				\n					\n				\n			\n		\nRelated Products \nCalibrated Reference Camera for Camera Monitor System (CMS) testing with Leader SFR-Fit\nLeader SFR-Fit MTF Measurement Software\nImatest Spectral Illuminance Color Sensor\nSFRreg Field Ruggedized Target\nISO 12233 Edge SFR (eSFR) Inkjet chart \nEvent Photos\n\nTutorial by Norman Koren\n\n\nInformation Metrics for Performance and Optimization of Machine Vision Systems.\nNorman Koren\nFounder / CTO \nWe discuss the mathematical background and practical measurement techniques for a new set of image quality metrics that promise to be superior to MTF (sharpness) and noise as predictors of machine vision performance. The new metrics include Noise Equivalent Quanta (NEQ)\, Ideal Observer SNR (SNRi)\, and Edge location standard deviation (Edge σ). They can be measured from slanted edges as well as Siemens star and dead leaves (spilled coins) test chart images.¬ We cover \n\nthe origin and significance of information capacity\, and its use as a fundamental metric for qualifying cameras\,\nthe effect on measurements of common types of image processing\, especially the bilateral filters found in most JPEG images\,\nthe distinction between total information capacity and information capacity for contrast-limited patterns (typically 4:1 or 60% Michelson contrast slanted edges)\, which can be measured for a wide range of exposures\,\nobtaining the metrics for object detection (SNRi) and the object location (Edge σ)\,\nthe effects of sharpening and lowpass (noise-reduction) filtering\, showing how excessive sharpening degrades performance\,\ndesign of matched filters to optimize SNRi and Edge σ for specific tasks\, and tradeoffs for multiple tasks\nprogress in correlating the new metrics with standard machine vison performance metrics\, such as Mean Average Precision (mAP) and Intersection over Union (IoU)\, which are related to object detection and location.\n\n\n\nSee also Image Information Metrics. \nVisit Imatest’s Booth #334 for Demonstrations\n \nLeader SFR-Fit camera resolution measurement software measures MTF (Modulation Transfer Function). MTF indicates spatial frequency characteristics using multiple distortion and uniformity-corrected sine patterns that can be presented across one or more displays. \nConventional MTF measurement methods can have issues with black box camera systems that prevent the acquisition of the RAW or minimally processed image.  If these systems have sharpening enabled\, slanted edges can overstate MTF\, especially at high frequencies. \nThe SFR-Fit measurement system can produce highly accurate measurements of automotive cameras is compatible with ultra-wide-angle lenses. \nCalibrated Reference Camera for Camera Monitor System (CMS) testing with Leader SFR-Fit  \nBy using SFR-Fit Ver2.4 and a calibrated reference camera\, you can measure the MTF of a CMS electronic mirror. \n\nSFRreg Field Ruggedized Target \n \n  Watch On Demand \nPrevious Event: AutoSens USA 2024
URL:https://www.imatest.com/event/autosens-europe-2024/
LOCATION:Palau De Congressos Barcelona\, Avda. Diagonal\, 661*671\, Barcelona\, Les Corts\, 08028\, Spain
ORGANIZER;CN="AutoSens":MAILTO:info@sense-media.com
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