Amalia Manjabacas

ORCID: 0000-0001-8685-8697
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About
Contact & Profiles
Research Areas
  • Ichthyology and Marine Biology
  • Marine and fisheries research
  • Marine animal studies overview
  • Identification and Quantification in Food
  • Water Quality Monitoring Technologies
  • Fish Ecology and Management Studies
  • Advanced Numerical Analysis Techniques
  • Fish Biology and Ecology Studies
  • Coral and Marine Ecosystems Studies
  • Fish biology, ecology, and behavior
  • Advanced Image Processing Techniques
  • Glaucoma and retinal disorders
  • 3D Surveying and Cultural Heritage
  • Medical Image Segmentation Techniques
  • Historical and socio-economic studies of Spain and related regions
  • Underwater Acoustics Research
  • Retinal Imaging and Analysis
  • Blind Source Separation Techniques
  • Robotics and Sensor-Based Localization
  • Marine Bivalve and Aquaculture Studies
  • Time Series Analysis and Forecasting
  • Morphological variations and asymmetry
  • Digital Filter Design and Implementation
  • Image and Signal Denoising Methods

Institut de Ciències del Mar
2010-2024

Institut Català de Ciències del Clima
2010-2021

National Research Council
2012

Consejo Superior de Investigaciones Científicas
2011

Universitat Politècnica de Catalunya
2010

Centro Mediterráneo de Investigaciones Marinas y Ambientale
2010

The identification of fish species using otolith shape has been common in many fields the marine science. Different analytical processes can be applied for morphological discrimination, but reviewing literature we have found conceptual and statistical limitations use indices wavelets (contour analysis), being specially worrying first case due to their widespread routine use. In present study, 42 were classified applying traditional machine learning classifiers performance measures (accuracy,...

10.1139/cjfas-2020-0369 article EN Canadian Journal of Fisheries and Aquatic Sciences 2021-01-04

Regressions between fish length and otolith size are provided for 40 species from the north‐eastern Atlantic Ocean 142 Mediterranean Sea. were also estimated at genus level. Most of regressions ( c . 84%) explained a high percentage deviance (>75%).

10.1111/jfb.13115 article EN Journal of Fish Biology 2016-08-26

Otolith shape analysis has been extensively employed to distinguish stocks and populations of marine fish species. While the majority studies have Elliptic Fourier descriptors (EFD) for this purpose, an alternative approach was introduced in 2005 founded on Wavelet Transform, using à trous multiscale signal representation with a B3-Spline function. This not only improved biological mathematical interpretation but also empowered user select more suitable level based contour complexity....

10.1007/s11160-024-09896-6 article EN cc-by-nc-nd Reviews in Fish Biology and Fisheries 2024-11-11

The three-dimensional (3-D) otolith shapes recently included in the Anàlisi de FORmes d’Otòlits (AFORO) database are defined by means of clouds points across their surfaces. Automatic retrieval and classification natural objects from 3-D databases becomes a difficult time-consuming task when number elements large. In order to simplify that we propose new method for compacting data shapes. has two main steps. first is subsampling process, result which can always be interpreted as closed curve...

10.1071/mf15069 article EN cc-by-nc-nd Marine and Freshwater Research 2015-10-26

The otolith digital catalogue AFORO allows unknown otoliths to be classified automatically by using a comparison with its records. To do this, the otolith’s contour, which is extracted from an image, used. In AFORO, images follow strict positional normalization. Only left sagitta considered, and must show internal side of whole otolith, sulcus acusticus visible, dorsal (D) placed in position rostral (R) on right. incoming image also same Variations reference worsen classification results....

10.3989/scimar.04961.15a article EN cc-by Scientia Marina 2020-02-18

This work deals with the task of distinguishing between different Mediterranean demersal species fish that share a remarkably similar form and are also used for evaluation marine resources. The experts who currently able to classify these types do so by considering only segment contour fish, specifically its head, instead using entire silhouette animal. Based on this knowledge, set features segments is presented address both binary multi-class classification problem. In addition difficulty...

10.3390/app10103408 article EN cc-by Applied Sciences 2020-05-14

The interpolation of contour pixels, with splines, an order greater than or equal to two, usually causes oscillations that do not fit the original shape. To overcome this we propose using a least squares filter before carrying out interpolation. This results in good compromise between smoothness curve and best contour. Representing continuous model instead discrete has many advantages for calculations, as example curvature, which involves first second derivatives, well operations are defined...

10.1109/nwesp.2011.6088164 article EN 2011-10-01

The target species (Aphia minuta and Pseudaphya ferreri) of the transparent goby fishery on Mallorca Island (Balearic Islands, western Mediterranean) are currently discarded when maximum daily catch is exceeded or sorting process unworkable. mortality suffered by this fraction remains unknown, although it may be important for resource management. Accordingly, aims study were to (1) assess environmental drivers relative post-release survival (2) test correlations between two behavior-related...

10.1371/journal.pone.0230357 article EN cc-by PLoS ONE 2020-04-09
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