{"id":1896,"date":"2017-10-13T22:44:50","date_gmt":"2017-10-13T20:44:50","guid":{"rendered":"https:\/\/www.adimec.com\/in-field-calibrations-for-optimal-machine-vision-image-accuracy\/"},"modified":"2018-07-30T11:45:46","modified_gmt":"2018-07-30T09:45:46","slug":"in-field-calibrations-for-optimal-machine-vision-image-accuracy","status":"publish","type":"post","link":"https:\/\/www.adimec.com\/ja\/in-field-calibrations-for-optimal-machine-vision-image-accuracy\/","title":{"rendered":"In-Field Calibrations for Optimal Machine Vision Image Accuracy"},"content":{"rendered":"
Flat Field Correction (FFC)<\/a> processing can be used to minimize or even remove artifacts to improve the image uniformity. The purpose of flat field correction is to ensure image uniformity regardless of exposure.<\/p>\n <\/p>\n There are two components to FFC:<\/p>\n <\/p>\n Local FFC<\/b><\/p>\n Local flat field correction can be done as a general offset for the whole image, or on a per pixel basis for better accuracy. For example in the Adimec<\/a> QUARTZ<\/a> series, we apply several corrections including the pixel based FFC while maintaining 4 Megapixels at 180 fps. Because this is done inside the camera, 12 bits rather than 10 bits are used for image processing for better accuracy.<\/a><\/p>\n <\/p>\n Global FFC<\/b><\/p>\n Some machine vision cameras contain algorithms for in-field FFC through storage of multiple calibration setups so the camera can switch instantly during operation between different lighting-optics, optical filters and other setups. <\/p>\n\n