期刊论文详细信息
PeerJ
Diatom identification including life cycle stages through morphological and texture descriptors
article
Carlos Sánchez1  Gabriel Cristóbal1  Gloria Bueno2 
[1] Instituto de Óptica “Daza de Valdés”;VISILAB, Universidad de Castilla La Mancha
关键词: Automated identification;    Classification;    Clustering;    Taxonomy;    Texture;    Morphology;   
DOI  :  10.7717/peerj.6770
学科分类:社会科学、人文和艺术(综合)
来源: Inra
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【 摘 要 】

Diatoms are unicellular algae present almost wherever there is water. Diatom identification has many applications in different fields of study, such as ecology, forensic science, etc. In environmental studies, algae can be used as a natural water quality indicator. The diatom life cycle consists of the set of stages that pass through the successive generations of each species from the initial to the senescent cells. Life cycle modeling is a complex process since in general the distribution of the parameter vectors that represent the variations that occur in this process is non-linear and of high dimensionality. In this paper, we propose to characterize the diatom life cycle by the main features that change during the algae life cycle, mainly the contour shape and the texture. Elliptical Fourier Descriptors (EFD) are used to describe the diatom contour while phase congruency and Gabor filters describe the inner ornamentation of the algae. The proposed method has been tested with a small algae dataset (eight different classes and more than 50 samples per type) using supervised and non-supervised classification techniques obtaining accuracy results up to 99% and 98% respectively.

【 授权许可】

CC BY   

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