Approaches to texture-based classification, segmentation and surface inspection. Pietikäinen M, O., T., &., S., O. Approaches to texture-based classification, segmentation and surface inspection.. 1999.
abstract   bibtex   
Over the last few years significant progress has been made in applying methods using distributions of feature values to texture analysis. Very good performance has been obtained in various texture classification and segmentation problems. This chapter overviews recent progress and presents some examples to demonstrate the efficiency of the approach. Problems of analyzing textured surfaces in industrial applications are also discussed. A general overview of the problem space is given, presenting sets of solutions proposed and their prerequisites.
@inBook{
 title = {Approaches to texture-based classification, segmentation and surface inspection.},
 type = {inBook},
 year = {1999},
 id = {dd676116-8635-3000-b1c9-e06544c63ba8},
 created = {2019-11-19T13:01:21.195Z},
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 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
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 last_modified = {2019-11-19T13:45:25.038Z},
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 notes = {In: Chen C H, Pau L F & Wang P S P (eds.) Handbook of Pattern Recognition & Computer Vision, 2nd ed., World Scientific, Singapore, 711 - 736.},
 private_publication = {false},
 abstract = {Over the last few years significant progress has been made in applying methods using distributions of feature values to texture analysis. Very good performance has been obtained in various texture classification and segmentation problems. This chapter overviews recent progress and presents some examples to demonstrate the efficiency of the approach. Problems of analyzing textured surfaces in industrial applications are also discussed. A general overview of the problem space is given, presenting sets of solutions proposed and their prerequisites.},
 bibtype = {inBook},
 author = {Pietikäinen M, Ojala T & Silven O}
}

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