Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification

Autor: Khalid EL Amraoui, Mouataz Lghoul, Ayoub Ezzaki, Lhoussaine Masmoudi, Majid Hadri, Hicham Elbelrhiti, Aziz Abdou Simo

Publikováno v: Data in Brief, Vol 45, Iss , Pp 108738- (2022)

Unmanned aerial vehicles (UAVs) with on-board cameras have the advantage of providing Bird-view images (Aerial images). This type of image is considered as a rich source of information especially for intelligent agriculture. A dataset of 984 aerial i

Externí odkaz: https://doaj.org/article/13e5774a89dd4f9b9111d8a744effc45

Algorithm for Iris recognition based on contourlet Transform and Entropy

Autor: Ayoub Ezzaki, Nadia Idrissi, Francisco-Angel Moreno, Lhoussaine Masmoudi

Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 1 (2020)

The iris is one of the most secure biometric information that is widely employed in authentication systems. In this paper we present a method for iris recognition based on the Contourlet Transform and Entropy which entails i) the detection and segmen

Externí odkaz: https://doaj.org/article/dd2a4c028093408d9663226d45a0b8c7

Edge detection algorithm for omnidirectional images, based on superposition laws on Blach's sphere and quantum entropy

Autor: Dirar Benkhedra, Mohamed El Ansari, Lhoussaine Masmoudi, Ayoub Ezzaki

Publikováno v: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 20, Iss 1 (2021)

This paper presents an edge detection algorithm for omnidirectional images based on superposition law on Bloch’s sphere and quantum local entropy. Omnidirectional vision system has become an essential tool in computer vision, duo to its large field

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d9d02066b207a432180e0d2542ee8e
https://ddd.uab.cat/record/238078

An algorithm for crops segmentation in UAV images based on U-Net CNN model: Application to Sugarbeets plants

Autor: Khalid EL Amraoui, Ayoub Ezzaki, Abdelkrim Abanay, Mouataz Lghoul, Majid Hadri, Aziz Amari, Lhoussaine Masmoudi

Publikováno v: ITM Web of Conferences. 46:05002

In recent years, Digital Agriculture (DA) has been widely developed using new technologies and computer vision technics. Drones and Machine learning have proved their efficiency in the optimization of the agricultural management. In this paper we pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f36d7174ffc35157e47604ff137dbad
https://doi.org/10.1051/itmconf/20224605002