| Paper Abstract and Keywords |
| Presentation |
2022-02-22 14:40
Detection of Physiological Disorders in European Pear Using HSV Color Features
Noritaka Kubota, Tatsuya Yamazaki (Niigata Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For the "Le Lectier" (pear), appearance quality is important to determine its grade, and grading based on shipping standards is necessary. However, the workload of grading judgement and the subjective discrimination are problems, and automated and objective discrimination using machines and systems are required to solve the problems. Therefore, in order to develop a pear grading system, a method to detect the appearance quality of pears is investigated. The appearance quality of pears is classified into two major categories: appearance defacement and physiological disorders, and deep learning methods have been used to detect and classify appearance defacement. In this study, we propose a detection method using light image processing based on color features for physiological disorders that have been difficult to annotate due to limited data. The physiological disorders of pears show differences in hue (H), saturation (S) and brightness values (V) in HSV color space compared to normal skin and calyx. The HSV values of these areas are defined as color features, and the physiological disorder areas are detected in the captured images of pears by thresholding using the differences in color features. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Smart Agriculture / Image Processing / HSV Color Space / Color Feature / European Pear / / / |
| Reference Info. |
ITE Tech. Rep. |
| Paper # |
|
| Date of Issue |
|
| ISSN |
|
| Download PDF |
|
| Conference Information |
| Committee |
AIT ME MMS IEICE-IE IEICE-ITS |
| Conference Date |
2022-02-21 - 2022-02-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IEICE-IE |
| Conference Code |
2022-02-IE-ITS-AIT-ME-MMS |
| Language |
Japanese |
| 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) |
|
| Keyword(1) |
Smart Agriculture |
| Keyword(2) |
Image Processing |
| Keyword(3) |
HSV Color Space |
| Keyword(4) |
Color Feature |
| Keyword(5) |
European Pear |
| Keyword(6) |
|
| Keyword(7) |
|
| Keyword(8) |
|
| 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.) |
| 3rd Author's Name |
|
| 3rd Author's Affiliation |
() |
| 4th Author's Name |
|
| 4th Author's Affiliation |
() |
| 5th Author's Name |
|
| 5th Author's Affiliation |
() |
| 6th Author's Name |
|
| 6th Author's Affiliation |
() |
| 7th Author's Name |
|
| 7th Author's Affiliation |
() |
| 8th Author's Name |
|
| 8th Author's Affiliation |
() |
| 9th Author's Name |
|
| 9th Author's Affiliation |
() |
| 10th Author's Name |
|
| 10th Author's Affiliation |
() |
| 11th Author's Name |
|
| 11th Author's Affiliation |
() |
| 12th Author's Name |
|
| 12th Author's Affiliation |
() |
| 13th Author's Name |
|
| 13th Author's Affiliation |
() |
| 14th Author's Name |
|
| 14th Author's Affiliation |
() |
| 15th Author's Name |
|
| 15th Author's Affiliation |
() |
| 16th Author's Name |
|
| 16th Author's Affiliation |
() |
| 17th Author's Name |
|
| 17th Author's Affiliation |
() |
| 18th Author's Name |
|
| 18th Author's Affiliation |
() |
| 19th Author's Name |
|
| 19th Author's Affiliation |
() |
| 20th Author's Name |
|
| 20th Author's Affiliation |
() |
| Speaker |
Author-1 |
| Date Time |
2022-02-22 14:40:00 |
| Presentation Time |
15 minutes |
| Registration for |
IEICE-IE |
| Paper # |
|
| Volume (vol) |
vol.46 |
| Number (no) |
|
| Page |
|
| #Pages |
|
| Date of Issue |
|