TY - CHAP

T1 - Shrimp Shape Analysis by a Chord Length Function Based Methodology

AU - Ramírez-Coronel, Fernando J.

AU - Rodríguez-Elías, Oscar M.

AU - Pérez-Patricio, Madaín

AU - Esquer-Miranda, Edgard

AU - Waissman-Vilanova, Julio

AU - Chacón-Murguía, Mario I.

AU - Hernández-González, Omar

PY - 2023

Y1 - 2023

N2 - The most expensive operational cost in shrimp farming and in every aquaculture system is feeding. To estimate the quantity of food is necessary to know the total biomass of the pond. Traditionally, this is done by taking samples and weighting, which is invasive and stress the animals. Non intrusive methods have been tried to estimate pond biomass using different technologies, being one of them computer vision. Computer vision faces several challenges, such as the problem of how to identify shrimps, count them, estimate their size and their mass. In this work, a chord length function based methodology is proposed as a viable alternative to analyze shrimp’s shape and count them, this methodology generates histograms of the shape of the shrimps and therefore, a set of statistical parameters (mean, median, mode, variance, standard deviation, maximun and minimum) to quantify shape and which can be useful to identify shrimps, estimate their sizes, and even find a relationship between morphometric measures with respect to biomass.

AB - The most expensive operational cost in shrimp farming and in every aquaculture system is feeding. To estimate the quantity of food is necessary to know the total biomass of the pond. Traditionally, this is done by taking samples and weighting, which is invasive and stress the animals. Non intrusive methods have been tried to estimate pond biomass using different technologies, being one of them computer vision. Computer vision faces several challenges, such as the problem of how to identify shrimps, count them, estimate their size and their mass. In this work, a chord length function based methodology is proposed as a viable alternative to analyze shrimp’s shape and count them, this methodology generates histograms of the shape of the shrimps and therefore, a set of statistical parameters (mean, median, mode, variance, standard deviation, maximun and minimum) to quantify shape and which can be useful to identify shrimps, estimate their sizes, and even find a relationship between morphometric measures with respect to biomass.

KW - Chord length function

KW - Shape analysis

KW - Shrimp biomass estimation

KW - Shrimp count

UR - https://www.mendeley.com/catalogue/651be249-c8bf-39f3-91ce-4634d8c61829/

U2 - 10.1007/978-3-031-23599-3_15

DO - 10.1007/978-3-031-23599-3_15

M3 - Capítulo

SN - 9783031235986

T3 - Communications in Computer and Information Science

SP - 205

EP - 219

BT - Communications in Computer and Information Science

ER -