Object isolation in FLIR images using Fisher's linear discriminant

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摘要

Further computer results are presented on the use of Fisher's linear discriminant for pixel classification in object isolation of infrared images. A new form of theoretical error probability is proposed which compares very favorably with the experimental error probability.

论文关键词:Fisher's linear discriminant,Pixel classification,Object/background discrimination,FLIR images,Image segmentation,Signal-to-noise ratio

论文评审过程:Received 9 January 1981, Revised 8 May 1981, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(82)90066-8