Title :
Image sharpness metrics for digital microscopy
Author :
Windisch, Gergely ; Kozlovszky, Miklos
Author_Institution :
Doctoral Sch. of Appl. Inf. & Appl. Math., Obuda Univ., Budapest, Hungary
Abstract :
Image sharpness measurements are important parts of many image processing applications. To measure image sharpness multiple algorithms have been proposed and measured in the past but they have been developed with having out-of-focus photographs in mind and they do not work so well with images taken using a digital microscope. In this article we show the difference between images taken with digital cameras, images taken with a digital microscope and artificially blurred images. The conventional sharpness measures are executed on all these categories to measure the difference and a standard image set taken with a digital microscope is proposed and described to serve as a common baseline for further sharpness measures in the field.
Keywords :
cameras; feature extraction; image processing; microscopy; photography; artificially blurred images; digital cameras; digital microscopy; image processing applications; image sharpness measurements; image sharpness metrics; out-of-focus photographs; Digital cameras; Image databases; Image edge detection; Measurement; Microscopy; Noise;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
Conference_Location :
Herl´any
DOI :
10.1109/SAMI.2015.7061889