caa a22 4500 467936846 CHVBK 20180406152959.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s00138-006-0028-0 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0028-0 On the Use of Hash Functions as Preprocessing Algorithms to Detect Defects on Repeating Definite Textures [Elektronische Daten] [Ibrahim Baykal, Graham Jullien] Hash functions are one way functions and often used in cryptography to ensure the integrity of files by creating a binary signature specific to that file. In a similar way, a family of special hash functions can be developed and used to generate one dimensional signatures of an image. The resultant signatures can then be used to compare the image either to a golden template or, if the image consists of repeating definite patterns, then to the texture itself. While such hash functions are sensitive enough to detect small changes and defects in repeating texture, they are immune to changes in illumination and contrast. In this paper we discuss the generation of suitable hash functions for textured images, which are simple enough to fit into a very small FPGA, and provide several examples of their use. Springer-Verlag, 2006 Defect detection nationallicence Real-time nationallicence Camera network nationallicence Segmentation nationallicence FPGA nationallicence In-camera nationallicence Baykal Ibrahim Department of Electrical and Computer Engineering Calgary, ATiPS Labs University of Calgary, Alberta, Canada aut Jullien Graham Department of Electrical and Computer Engineering Calgary, ATiPS Labs University of Calgary, Alberta, Canada aut Machine Vision and Applications Springer-Verlag 17/3(2006-08-01), 185-195 0932-8092 17:3<185 2006 17 138 https://doi.org/10.1007/s00138-006-0028-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0028-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Baykal Ibrahim Department of Electrical and Computer Engineering Calgary, ATiPS Labs University of Calgary, Alberta, Canada aut NATIONALLICENCE 700 1- Jullien Graham Department of Electrical and Computer Engineering Calgary, ATiPS Labs University of Calgary, Alberta, Canada aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/3(2006-08-01), 185-195 0932-8092 17:3<185 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer