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A lightweight keypoint matching framework for insect wing morphometric landmark detection

Nguyen University of Science and Technology of Hanoi, ICT Lab, Hanoi, 10000, Viet Nam|
Huu Ton (57188695963) | Jorian (55203090500); Le | Anne Laure (6701422850); Prudhomme | Hien Phuong (57734167100); Tran MIVEGEC, Univ of Montpellier, IRD, CNRS, LMI DRISA, Montpellier, 34000, France| Bich Hai (57734550100); Lai FPT University, Department of Computing Fundamentals, Hanoi, 10000, Viet Nam| Hoang Ha (57693692000); Ho Oxford University Clinical Research Unit, Ho Chi Minh City, 700000, Viet Nam|

Ecological Informatics Số , năm 2022 (Tập 70, trang -)

ISSN: 15749541

ISSN: 15749541

DOI:

Tài liệu thuộc danh mục:

Article

English

Từ khóa: accuracy assessment; detection method; digitization; geometry; insect; morphometry; wing morphology
Tóm tắt tiếng anh
Geometric morphometrics has become an important approach in insect morphology studies because it capitalizes on advanced quantitative methods to analyze shape. Shape could be digitized as a set of landmarks from specimen images. However, the existing tools mostly require manual landmark digitization, and previous works on automatic landmark detection methods do not focus on implementation for end-users. Motivated by that, we propose a novel approach for automatic landmark detection, based on visual features of landmarks and keypoint matching techniques. While still archiving comparable accuracy to that of the state-of-the-art method, our framework requires less initial annotated data to build prediction model and runs faster. It is lightweight also in terms of implementation, in which a four-step workflow is provided with user-friendly graphical interfaces to produce correct landmark coordinates both by model prediction and manual correction. The utility iMorph is freely available at https://github.com/ha-usth/InsectWingLandmark, currently supporting Windows, MacOS, and Linux. � 2022 Elsevier B.V.

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