{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T17:48:02Z","timestamp":1648662482522},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1992,10]]},"abstract":"<jats:p> This paper presents the results of a study on the use of morphological skeleton transformation to segment gray-scale images into bilevel images. When a bilevel image (such as printed texts and machine tools) is digitized, the result is a gray-scale image due to the point spread function of digitizer, non-uniform illumination and noise. Our method can recover the original bilevel image from the gray-scale image. The theoretical basis of the algorithm is the physical structure of the skeleton set. A connectivity property of the gray-scale skeleton transformation is used to separate and remove the background terrain. The object pixels can then be obtained by applying a global threshold. Experimental results are given. <\/jats:p>","DOI":"10.1142\/s0218001492000321","type":"journal-article","created":{"date-parts":[[2004,11,25]],"date-time":"2004-11-25T00:50:24Z","timestamp":1101343824000},"page":"595-628","source":"Crossref","is-referenced-by-count":0,"title":["SEGMENTATION OF BILEVEL IMAGES USING MATHEMATICAL MORPHOLOGY"],"prefix":"10.1142","volume":"06","author":[{"given":"JIN-CHANG","family":"CHENG","sequence":"first","affiliation":[{"name":"Opto-Electronics and Systems Lab, Industrial Technology Research Institute, Hsinchu, Taiwan, R.O.C."}]},{"given":"HON-SON","family":"DON","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, R.O.C"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001492000321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:47:57Z","timestamp":1565196477000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001492000321"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,10]]},"references-count":0,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,10]]}},"alternative-id":["10.1142\/S0218001492000321"],"URL":"https:\/\/doi.org\/10.1142\/s0218001492000321","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,10]]}}}