The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.09 - September (1978 vol.27)
pp: 875-879
D.P. Panda , Honeywell S & R Center
ABSTRACT
Image segmentation can be treated as a pixel classification problem. This classification may be done by measuring a set of features at each point and defining a decision surface in the feature space. This method is commonly used in multispectral images, but there is no obvious choice for the feature set in the case of monochromatic images. Ihis paper makes use of a two-dimensional feature set consisting of gray level and edge value. Ihe structure of this feature space is analyzed, and several plausible decision surfaces are suggested. These are compared experimentally on a set of FLIR test images.
INDEX TERMS
thresholding, Computer vision, FLIR, pattern recognition, segmentation
CITATION
D.P. Panda, A. Rosenfeld, "Image Segmentation by Pixel Classification in (Gray Level, Edge Value) Space", IEEE Transactions on Computers, vol.27, no. 9, pp. 875-879, September 1978, doi:10.1109/TC.1978.1675208
26 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool