Automatic control of lamellibranch larva growth using contour invariant feature extraction

doi:10.1016/0031-3203(90)90019-H

Pattern Recognition

Volume 23, Issues 3–4, 1990, Pages 319-323

https://doi.org/10.1016/0031-3203(90)90019-H Get rights and content

Abstract

We propose a method for the detection of lamellibranch growth anomalies during larval phases. A planar shape representation of the larva is given from which a contour invariant feature extraction is deducted. From a statistical analysis of these features, larva average templates are derived, allowing age discrimination and automatic control of the growth.

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Pattern Recognition

Automatic control of lamellibranch larva growth using contour invariant feature extraction

Abstract

Pattern recognition of zooplankton

The identification and classification of lamellibranch larvae

Hull Bull. Mar. Ecol.

Fourier descriptors for plane closed curves

IEEE Trans. Comput.

Shape discrimination using Fourier descriptors

IEEE Trans. Syst. Man. Cyb.

Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks

A NOVEL SYSTEM FOR DEEP CONTOUR CLASSIFIERS CERTIFICATION UNDER FILTERING ATTACKS

Robust statistical prior knowledge for active contours prior knowledge for active contours

Comparison of statistical and artificial neural networks classifiers by adjusted non parametric probability density function estimate

Smoothing parameters selection for dimensionality reduction method based on probabilistic distance: Application to handwritten recognition

Inspecting natural and other variable objects