{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T04:10:26Z","timestamp":1716437426417},"reference-count":15,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2014,2]]},"abstract":"<jats:p>Many gel electrophoresis image segmentation methods have been proposed. However, most of the proposed methods cannot provide a satisfying performance since a gel electrophoresis image is a manually captured image often with various noise and poor quality. This paper presents a one-dimensional-gel image segmentation method (1DGISM) to cut the bands off from a one-dimensional gel electrophoresis image (1D-gel image). The experimental results showed that 1DGISM can give an impressive segmentation performance even if the band boundaries are very indistinct. Moreover, the authors suggest that a low exposure for imaging be helpful in segmenting bright bands. Alternatively, taking the image at a high exposure is useful if the bands are dark.<\/jats:p>","DOI":"10.1142\/s0218001414570018","type":"journal-article","created":{"date-parts":[[2014,1,15]],"date-time":"2014-01-15T06:32:03Z","timestamp":1389767523000},"page":"1457001","source":"Crossref","is-referenced-by-count":0,"title":["AUTOMATIC BAND SEGMENTATION AND DETECTION OF 1D-GEL IMAGES WITH DIFFERENT EXPOSURES"],"prefix":"10.1142","volume":"28","author":[{"given":"MENG-HSIUN","family":"TSAI","sequence":"first","affiliation":[{"name":"Department of Management Information Systems, National Chung Hsing University, Taiwan, R.O.C."}]},{"given":"SHU-WEI","family":"GUO","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Chung Hsing University, Taiwan, R.O.C."}]},{"given":"YUNG-KUAN","family":"CHAN","sequence":"additional","affiliation":[{"name":"Department of Management Information Systems, National Chung Hsing University, Taiwan, R.O.C."}]},{"given":"JIUNN-LIN","family":"WU","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Chung Hsing University, Taiwan, R.O.C."}]},{"given":"CHING-LIN","family":"WANG","sequence":"additional","affiliation":[{"name":"Department of Information Management, National Chin-Yi University of Technology, Taiwan, R.O.C."}]},{"given":"YEN-PING","family":"CHU","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineering, Tung-Hai University, Taiwan, R.O.C."}]},{"given":"WEN-YU","family":"CHENG","sequence":"additional","affiliation":[{"name":"Institute of Molecular Biology, National Chung Hsing University, Department of Neurosurgery, Taichung Veterans General Hospital, Taiwan, R.O.C."}]}],"member":"219","published-online":{"date-parts":[[2014,4]]},"reference":[{"key":"rf2","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1139\/G09-017","volume":"52","author":"Baig M. 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