RT Journal Article
T1 The Goertzel algorithm for the extraction of texture features
A1 Lora Rivera, Raúl
A1 Oballe-Peinado, Óscar
A1 Trujillo-León, Andrés
A1 Vidal-Verdú, Fernando
K1 Algoritmos
K1 Fourier, Transformaciones de
K1 Detectores
K1 Proceso de vectores (Informática)
K1 Matrices lógicas programables por el usuario
AB The detection of the properties of objects is essential to deal with the manipulation of objects with artificial hands and grippers. In particular, texture detection is a common challenge in robotics. In the quest for smooth and natural manipulation, response times in the order of milliseconds are needed. In a context where the number of sensors and actuators integrated in the system increases, it becomes necessary to pre-process in local electronics. This pre-processing reduces the number of interconnecting wires that hinder movement, and also the computational load and data traffic. This paper proposes the use of the Goertzel algorithm as an alternative to the common use of FFT to obtain the features used to identify a texture. The lower computational cost of the Goertzel algorithm translates into lower resource and power consumption. This lower cost is observed for a limited number of features to be extracted from the raw signal, which can be assumed for an application that seeks to obtain main features of the manipulated object, and not an exhaustive characterisation of the object. This paper shows that a set of 12 textures can be classified with 84.8% accuracy by extracting features that give the signal power for 16 selected frequencies in the spectrum.
PB IEEE
YR 2024
FD 2024
LK https://hdl.handle.net/10630/31712
UL https://hdl.handle.net/10630/31712
LA eng
NO R. Lora-Rivera, Ó. Oballe-Peinado, A. Trujillo-León and F. Vidal-Verdú, "The Goertzel Algorithm for the Extraction of Texture Features," in IEEE Robotics and Automation Letters, vol. 9, no. 8, pp. 6928-6934, Aug. 2024, doi: 10.1109/LRA.2024.3416790
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 13 abr 2026