{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T06:10:29Z","timestamp":1698127829562},"reference-count":15,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":5558,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp;amp; Computers in Japan"],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper discusses the classification of blood cell images. The image input method using the single CCD color TV camera and the special color compensation filter, as well as the method of region segmentation for the blood cell images, are described. The following elaborations are made in the image input stage to separate the red blood cell and the white blood cell images in a stable way using optical means.<\/jats:p><jats:p>(1) The bluish green light near 450 \u223c 500 nm is cut off from the white light.<\/jats:p><jats:p>(2) The accompanying light imbalance between the blue light and the green\/red light is compensated by the special color compensation filter.<\/jats:p><jats:p>In the (region) segmentation of the blood cell images, a logical operation is developed in which the region of the red blood cell is extracted based on the binary images obtained by the threshold processing of the subtracted image. Using those methods, 59 blood cell images are processed and a satisfactory segmentation result is obtained.<\/jats:p>","DOI":"10.1002\/scj.4690230607","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T23:45:49Z","timestamp":1183851949000},"page":"75-84","source":"Crossref","is-referenced-by-count":3,"title":["Segmentation of blood cell image captured by single CCD color TV camera"],"prefix":"10.1002","volume":"23","author":[{"given":"Akihide","family":"Hashizume","sequence":"first","affiliation":[]},{"given":"Jun","family":"Motoike","sequence":"additional","affiliation":[]},{"given":"Ryuichi","family":"Suzuki","sequence":"additional","affiliation":[]},{"given":"Ryohei","family":"Yabe","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1749-6632.1965.tb11715.x"},{"issue":"4","key":"e_1_2_1_3_2","first-page":"513","article-title":"Leukocyte pattern recognition","volume":"2","author":"Bacus J. W.","year":"1972","journal-title":"IEEE Trans. Syst., Man. & Cyber."},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1972.324072"},{"key":"e_1_2_1_5_2","first-page":"223","volume-title":"Automatic analysis of blood cells","author":"Ingram M.","year":"1970"},{"issue":"1","key":"e_1_2_1_6_2","first-page":"3","article-title":"The LARC automatic white blood cell analyzer","volume":"17","author":"Megla G. K.","year":"1973","journal-title":"Acta Cytologica"},{"key":"e_1_2_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1976.324651"},{"issue":"4","key":"e_1_2_1_8_2","first-page":"242","article-title":"Development of automatic blood cell analyzer","volume":"18","author":"Yamamoto S.","year":"1980","journal-title":"Jour. MEBE"},{"issue":"3","key":"e_1_2_1_9_2","first-page":"113","article-title":"Cell image processing in cell analyzer MICROX","volume":"19","author":"Miyake T.","year":"1980","journal-title":"Omron Technics"},{"issue":"4","key":"e_1_2_1_10_2","first-page":"18","article-title":"Automatic classification of blood cell image","volume":"53","author":"Shimomae T.","year":"1987","journal-title":"J. Prec. Mach."},{"key":"e_1_2_1_11_2","unstructured":"A.Hashizume J.MotoikeandR.Yabe.Fully automated blood cell differential system and its application. ANT'88 Proc. 3rd International Congress on Automation and New Technology in the Clinical Laboratory pp.297\u2013302(Sept.1988)."},{"key":"e_1_2_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1975.324537"},{"key":"e_1_2_1_13_2","unstructured":"J. E.Green.Method and apparatus utilizing color algebra for analyzing scene region. US Patent 3999047 (1976)."},{"key":"e_1_2_1_14_2","unstructured":"R.Suzuki A.Hashizume H.MatsusitaandR.Yabe.An automated classification of blood cells by multistage classifier. IECON'84 pp.1152\u20131157(Oct.1984)."},{"key":"e_1_2_1_15_2","unstructured":"J. W.Bacus R. K.Aggarwal andM. G.Belanger.Computer recognition of microscopic images. EASCON '75 pp.73A\u201373F(1974)."},{"issue":"9","key":"e_1_2_1_16_2","first-page":"1420","article-title":"Segmentation of blood cell image using color information. Trans. (D\u2010II)","volume":"73","author":"Suzuki R.","year":"1990","journal-title":"I.E.I.C.E., Japan"}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690230607","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690230607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T13:00:07Z","timestamp":1698066007000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690230607"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":15,"journal-issue":{"issue":"6","published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1002\/scj.4690230607"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690230607","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"value":"0882-1666","type":"print"},{"value":"1520-684X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}