{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:00:20Z","timestamp":1781107220012,"version":"3.54.1"},"reference-count":14,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7,1]]},"abstract":"<p>This article describes how in traditional edge detection it is prone to defects such as fuzzy positioning, and noise influence. This article proposes a type of edge detection algorithm which combines lifting wavelet transform and adaptive mathematical morphology, which makes a lifting wavelet to analyze the wood cell image. Then, the high-frequency part is detected by using the algorithm fusing the wavelet packet and the rapid-combining multi-scale wavelet, which controls noise effectively; while for the low frequency part is detected with modified adaptive mathematical morphology, to locate the exact details. The final result will processes the edge of the image using \u201calgebra\u201d algorithm fusion. The example for a wood cell image which illustrates the algorithm is to detect the cell boundary relatively clearly, and effectively suppress the noise.<\/p>","DOI":"10.4018\/jitr.2018070107","type":"journal-article","created":{"date-parts":[[2018,5,15]],"date-time":"2018-05-15T08:24:19Z","timestamp":1526372659000},"page":"90-104","source":"Crossref","is-referenced-by-count":3,"title":["A New Kind of Image Edge Detection Based on The Theory of The Adaptive Lifting Wavelet and Morphology"],"prefix":"10.4018","volume":"11","author":[{"given":"Honge","family":"Ren","sequence":"first","affiliation":[{"name":"College of Information and Computer Engineering, Northeast Forestry University, Forestry Intelligent Equipment Engineering Research Center, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiyan","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Information and Computer Engineering, Northeast Forestry University, Forestry Intelligent Equipment Engineering Research Center, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongxu","family":"Huo","sequence":"additional","affiliation":[{"name":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"JITR.2018070107-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2016.01.017"},{"key":"JITR.2018070107-1","unstructured":"Lijun, L., Mingge, H., Ying, Y., Xiangyun, Y., & Guofu, Y. (2015). Edge detection of magnetic tile cracks, based on wavelet.High Technology Letters, 21, 276\u2013281."},{"key":"JITR.2018070107-2","unstructured":"Gong, X., Wang, J.-M., & Liu, Y.-F. (2012). Image edge detection algorithm based on Lifting Wavelet and morphology. Aviation computing technology, 3, 68-70."},{"key":"JITR.2018070107-3","unstructured":"Guobao, X., Wang, J., Guiyan, Z., Yixin, Y. & Shiyi, X. (2009). Adaptive math morphological edge detection new algorithm. Computer Applications, 4, 997-999+1002."},{"key":"JITR.2018070107-4","first-page":"1","article-title":"Image edge detection based on Beamlet transform.","volume":"20","author":"L.Jing","year":"2009","journal-title":"Journal of Systems Engineering and Electronics"},{"key":"JITR.2018070107-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2006.12.001"},{"key":"JITR.2018070107-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2014.12.013"},{"key":"JITR.2018070107-7","doi-asserted-by":"crossref","unstructured":"Shao, K. (2014). An image edge detection algorithm based on wavelet transform and mathematical morphology. Advances in Intelligent Systems and Computing, 277, 485-495.","DOI":"10.1007\/978-3-642-54924-3_46"},{"key":"JITR.2018070107-8","first-page":"258","article-title":"Based on wavelet transform and mathematical morphology of imaging laser radar image edge detection.","volume":"6","author":"H.Wang","year":"2011","journal-title":"Laser in China"},{"key":"JITR.2018070107-9","doi-asserted-by":"publisher","DOI":"10.1109\/CMSP.2011.155"},{"key":"JITR.2018070107-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2015.07.020"},{"key":"JITR.2018070107-11","unstructured":"Xue L.Y. & Cheng, L. (2013). Fusion technology based on wavelet transform and mathematical morphology edge detection algorithms. Journal of central China normal university (natural science edition)."},{"key":"JITR.2018070107-12","unstructured":"Xue, L. (2010). Adaptive morphological edge detection algorithm. Computer Engineering, 23, 214-216."},{"key":"JITR.2018070107-13","doi-asserted-by":"crossref","unstructured":"Zhang, Y., & Han, Q. (2011). An edge detection algorithm based on wavelet transform and mathematical morphology. Journal of Northeastern University (Natural Science edition), 9, 1315-1318.","DOI":"10.1109\/ICCASE.2011.5997768"}],"container-title":["Journal of Information Technology Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=206217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T19:54:20Z","timestamp":1651866860000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/JITR.2018070107"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2018,7,1]]},"references-count":14,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,7]]}},"URL":"https:\/\/doi.org\/10.4018\/jitr.2018070107","relation":{},"ISSN":["1938-7857","1938-7865"],"issn-type":[{"value":"1938-7857","type":"print"},{"value":"1938-7865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,1]]}}}