Results 41 to 50 of about 28,492 (283)

Quaternion and Split Quaternion Neural Networks for Low-Light Color Image Enhancement

IEEE Access, 2023
In this study, two models of multilayer quaternionic feedforward neural networks are presented. Whereas the first model is based on quaternion algebra, the second model uses split quaternion algebra.
Eduardo Jesus De Davila-Meza, Eduardo Jose Bayro-Corrochano   +1 more
doaj   +1 more source

WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture

Sensors, 2023
Smart farming (SF) applications rely on robust and accurate computer vision systems. An important computer vision task in agriculture is semantic segmentation, which aims to classify each pixel of an image and can be used for selective weed removal ...
Florian Kitzler, Norbert Barta, Reinhard W. Neugschwandtner, Andreas Gronauer, Viktoria Motsch   +4 more
doaj   +1 more source

Non-Destructive Measurement of Rice Amylose Content Based on Image Processing and Artificial Neural Networks (ANN) Model

Jurnal Teknik Pertanian Lampung, 2022
The purpose of this study was to develop a method of measuring the amylose content of rice using image processing techniques and an Artificial Neural Network (ANN) model.
Tri Wahyu Saputra, Yagus Wijayanto, Suci Ristiyana, Ika Purnamasari, Wildan Muhlison   +4 more
doaj   +1 more source

Intelligent image analysis for retrieval of leaf chlorophyll content of rice from digital images of smartphone under natural light

Photosynthetica, 2019
The present study describes a new imaging method to acquire rice leaf images under field conditions using a smartphone and modeling approaches to retrieve the leaf chlorophyll (Chl) content from digitized images.
P. MOHAN, S. GUPTA
doaj   +1 more source

Aplikasi Analisis Multivariat Berdasarkan Warna untuk Memprediksi Brix dan pH pada Pisang

Agritech, 2017
In this research, Multiple Linear Regression (MLR) model was used to predict Brix and pH of banana based on RGB and Lab color values. Banana samples varied in color and ripening level from less ripen to ripen.
Yohanita Maulina Akbar, Dr. Rudiati Evi Masithoh, Nafis Khuriyati   +2 more
doaj   +1 more source

Design of Imperceptible Metamer Markers and Application Systems

IEEE Access, 2020
This paper presents a application system using imperceptible metamer markers. The proposed system is based on metamer markers that are invisible to the human eye but visible to infrared (IR) cameras.
Kanghoon Lee, Kyudong Sim, Taeyoung Uhm, Sang Hwa Lee, Jong-Il Park   +4 more
doaj   +1 more source

Application of Different HSI Color Models to Detect Fire-Damaged Mortar

International Journal of Transportation Science and Technology, 2013
To obtain a better understanding of the effect of vehicle fires on rigid pavement, a nondestructive test method utilizing an ordinary digital camera to capture images of mortar at five elevated temperatures was undertaken. These images were then analyzed
H. Luo, D. Lin, C. Yu, L. Chen
doaj   +1 more source

CropGCNN: color space-based crop disease classification using group convolutional neural network [PDF]

PeerJ Computer Science
Classifying images is one of the most important tasks in computer vision. Recently, the best performance for image classification tasks has been shown by networks that are both deep and well-connected.
Naeem Ahmad, Shubham Singh, Mohamed Fahad AlAjmi, Afzal Hussain, Khalid Raza   +4 more
doaj   +2 more sources

A Robust Multispectral Reconstruction Network from RGB Images Trained by Diverse Satellite Data and Application in Classification and Detection Tasks

Remote Sensing
Multispectral images contain richer spectral signatures than easily available RGB images, for which they are promising to contribute to information perception.
Xiaoning Zhang, Zhaoyang Peng, Yifei Wang, Fan Ye, Tengying Fu, Hu Zhang   +5 more
doaj   +1 more source

Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance

MethodsX
Colorectal cancer, arising from adenomatous polyps, is a leading cause of cancer-related mortality, making early detection and removal crucial for preventing cancer progression.
Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa   +3 more
doaj   +1 more source