| Presentation | 2022-03-10 Detection of Physiological Disorders in European Pear Using HSV Color Features Noritaka Kubota, Tatsuya Yamazaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | "Le Lectier" (European pear) needs to be graded at the time of shipment. However, there is a need to automate the process of grading, because the workload of grading is heavy and subjective. In order to develop a system for evaluating and grading the appearance quality of pears, a method for detecting black spots, which are physiological disorders, is investigated. In this study, we have proposed a method for detecting physiological disorders from photographed images of the bottom of pears using light image processing based on HSV color features. However, due to the structure of the photographic equipment, the bottom of the pear is photographed from below at an angle, resulting in perspective distortion in the photographed image. In this paper, we propose a method to reduce the displacement of the area of the photographed image using geometric transformation. Based on the distortion correction, physiological disorders are more accurately detected and classified to judge the grade correctly. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Distortion Correction / Trapezoid Correction / Geometric Transformation / Pear / Physiological Disorders |
| Paper # | IMQ2021-34,IE2021-96,MVE2021-63 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | CQ / IMQ / MVE / IE |
|---|---|
| Conference Date | 2022/3/9(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Chair | Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Physiological Disorders in European Pear Using HSV Color Features |
| Sub Title (in English) | Distortion Correction of Detection Area Using Ellipse Detection and Geometric Transformation |
| Keyword(1) | Distortion Correction |
| Keyword(2) | Trapezoid Correction |
| Keyword(3) | Geometric Transformation |
| Keyword(4) | Pear |
| Keyword(5) | Physiological Disorders |
| 1st Author's Name | Noritaka Kubota |
| 1st Author's Affiliation | Niigata University(Niigata Univ.) |
| 2nd Author's Name | Tatsuya Yamazaki |
| 2nd Author's Affiliation | Niigata University(Niigata Univ.) |
| Date | 2022-03-10 |
| Paper # | IMQ2021-34,IE2021-96,MVE2021-63 |
| Volume (vol) | vol.121 |
| Number (no) | IMQ-420,IE-422,MVE-423 |
| Page | pp.pp.127-132(IMQ), pp.127-132(IE), pp.127-132(MVE), |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |