{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:27:34Z","timestamp":1760236054877,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T00:00:00Z","timestamp":1634515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>This paper presents a novel method that absorbs the strong discriminative ability from absent color indexing (ABC) to enhance sensitivity and combines it with a correlation filter (CF) for obtaining a higher precision; this method is named ABC-CF. First, by separating the original color histogram, apparent and absent colors are introduced. Subsequently, an automatic threshold acquisition is proposed using a mean color histogram. Next, a histogram intersection is selected to calculate the similarity. Finally, CF follows them to solve the drift caused by ABC during the matching process. The novel approach proposed in this paper realizes robustness in distortion of target images and higher margins in fundamental matching problems, and then achieves more precise matching in positions. The effectiveness of the proposed approach can be evaluated in the comparative experiments with other representative methods by use of the open data.<\/jats:p>","DOI":"10.3390\/info12100428","type":"journal-article","created":{"date-parts":[[2021,10,19]],"date-time":"2021-10-19T22:52:47Z","timestamp":1634683967000},"page":"428","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust and Precise Matching Algorithm Combining Absent Color Indexing and Correlation Filter"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8591-3444","authenticated-orcid":false,"given":"Ying","family":"Tian","sequence":"first","affiliation":[{"name":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 0600808, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun\u2019ichi","family":"Kaneko","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 0600808, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"So","family":"Sasatani","sequence":"additional","affiliation":[{"name":"Research & Development Group, Hitachi Ltd., Hitachi 3191292, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masaya","family":"Itoh","sequence":"additional","affiliation":[{"name":"Research & Development Group, Hitachi Ltd., Hitachi 3191292, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Fang","sequence":"additional","affiliation":[{"name":"Graduate School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"29","DOI":"10.29099\/ijair.v2i1.42","article-title":"Computer vision and image processing: A paper review","volume":"2","author":"Wiley","year":"2018","journal-title":"Int. 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