000 02026naa a2200289 c 4500
001 vtls000553785
003 RU-ToGU
005 20210922083801.0
007 cr |
008 161223s2016 sz fs 10000 eng dd
024 7 _a10.1007/978-3-319-41009-8_27
_2doi
035 _ato000553785
040 _aRU-ToGU
_brus
_cRU-ToGU
100 1 _aBaklanova, Olga E.
_9422383
245 1 0 _aMethods and algorithms of image recognition for mineral rocks in the mining industry
_cO. E. Baklanova, M. A. Baklanov
520 3 _aThis paper describes development of methods and algorithms of image recognition for mineral rocks. Algorithms of the cluster and morphological analysis to determinate colors and shapes for composition of rocks are described. This approach is actual because of existence of objects with similar color-brightness characteristics, but different shapes or objects that have similar color-brightness characteristics. Preliminary determination of group membership allows reducing the computational complexity of classification. Sorting by group produces color of the object is determined at the stage of segmentation. Few examples of segmentation algorithms in the solving of mineral rock recognition problems are described and discussed.
653 _aраспознавание изображений
653 _aминералы
653 _aгорнодобывающая промышленность
655 4 _aстатьи в сборниках
_9713576
700 1 _aBaklanov, Mikhail A.
_9422384
773 0 _tAdvances in swarm intelligence : proceedings of the 7th international conference, ICSI 2016, Bali, Indonesia, June 25–30, 2016
_d[S.l.], 2016
_gPt. 2. P. 253-262
_kLecture Notes in Computer Science ; Vol. 9713
_z9783319410081
852 4 _aRU-ToGU
856 7 _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000553785
908 _aстатья
999 _c404682