Counting Pear Flower Buds Using Worm's-Eye View Images

[Abstract]

We propose a method of counting pear flower buds from sequential images acquired from a worm's-eye view by a driven camera system. When only flower buds are detected at each time point, the problem of duplicate counting of the same flower buds may occur. Thus, in addition to the detection at each time point, our method identifies flower buds through keypoint matching for sequential image pairs and then counts the flower buds. Experimental results show that our method has less error in counting flower buds compared with using only a detector.

[Publications]

• Takumi Hanakawa, Shintaro Nakatani, Jaehwan Lee, Eiji Morimoto, Masashi Nishiyama and Yoshio Iwai,
  Counting of Pear Flower Buds in Images by Judging Acquisition Conditions and Matching Keypoints, Proceedings of 43rd IEEE International Conference on Consumer Electronics (ICCE), CT02-3-2, pp. 1 - 6, January 2025. [Slides]
• Takumi Hanakawa, Masashi Nishiyama, Yoshio Iwai, Eiji Morimoto, and Shintaro Nakatani,
  Counting Pear Flower Buds Using Worm's-Eye View Images, Proceedings of IEEE 11th Global Conference on Consumer Electronics (GCCE), OS-AIP, pp. 544 - 547, October 2022. [Short movie]
• 花川 拓海, 中谷 真太朗，森本 英嗣，西山 正志，岩井 儀雄,
  梨の仰視画像の撮影条件判定を用いた花芽数カウント手法の検討,
  動的画像処理実利用化ワークショップ (DIA), OS3-04(IS3-04), pp. 229 - 236, March 2024. [研究奨励賞] [Slides] [Short movie]