Automatic position correction using center estimation for cereal images

[Abstract]

When acquiring images to construct a database of the appearance characteristics of cereal species, we need to be aware of the misalignment depending on how each individual cereal spike is placed and how the scanner is used. In this paper, we propose a method to automatically correct the misalignment by estimating the center position of a set of spikelets from a cereal image using a class activation map of cereal species classification. We demonstrate that our method can accurately estimate the center position of a set of spikelets and correct the misalignment of cereal images.

[Publications]

• Kotarou Saku, Takumi Ozaki, Shun Sakuma, Michiko Inoue, and Masashi Nishiyama,
  Automatic position correction using center estimation for cereal images, Proceedings of IEEE 13th Global Conference on Consumer Electronics (GCCE), POS, pp. 492 - 495, October 2024. [Poster]
• 佐久 高太郎, 尾崎 匠, 佐久間 俊, 井上 路子, 西山 正志,
  ムギ画像の位置補正に向けた種分類のクラス活性化マップの利用手法の提案,
  画像センシングシンポジウム (SSII), IS1-20, pp. 1 - 7, June 2024. [Poster] [Short movie]
• 佐久 高太郎，佐久間 俊，井上 路子，西山 正志,
  ムギの中心位置推定を用いた穂画像の自動位置調整,
  ビジョン技術の実利用ワークショップ (ViEW), OS3-H4(IS3-4), pp. 352 - 358, December 2023. [Slides] [Short movie]