36   Artículos

 
en línea
Chenxi Zhang, Zhongfa Zhou, Changli Zhu, Quan Chen, Qing Feng, Meng Zhu, Fang Tang, Xiaopiao Wu, Yan Zou, Fuxianmei Zhang, Jiajia Zheng and Ting Yu    
Exploring the evolution of livelihood patterns of farm households relocated for poverty alleviation in three prefectures of Guizhou Province, China, can provide a theoretical basis and practical value for achieving sustainable livelihoods of relocated fa... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xiangming Lei, Mingliang Wu, Yajun Li, Anwen Liu, Zhenhui Tang, Shang Chen and Yang Xiang    
To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional neura... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yan Li, Wen Yan, Sai An, Wanlin Gao, Jingdun Jia, Sha Tao and Wei Wang    
Accurate and continuous monitoring of crop growth is vital for the development of precision agriculture. Unmanned aerial vehicle (UAV) and satellite platforms have considerable complementarity in high spatial resolution (centimeter-scale) and fixed revis... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Habiba Sultana, A. H. M. Kamal, Gahangir Hossain and Muhammad Ashad Kabir    
In digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. By combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper. This m... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Tjokorda Agung Budi Wirayuda, Rinaldi Munir and Achmad Imam Kistijantoro    
In computer vision, ethnicity classification tasks utilize images containing human faces to extract ethnicity labels. Ethnicity is one of the soft biometric feature categories useful in data analysis for commercial, public, and health sectors. Ethnicity ... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, Meshari Alazmi, Abdulaziz M. Alayba, Adwan Alownie Alanazi, Abdulrahman Alreshidi and Mona Alshahrani    
Cervical cancer is a global health problem that threatens the lives of women. Liquid-based cytology (LBC) is one of the most used techniques for diagnosing cervical cancer; converting from vitreous slides to whole-slide images (WSIs) allows images to be ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sonain Jamil, MuhibUr Rahman and Amir Haider    
Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital role in preserving biodiversity, ceasing coastal erosion, and promoti... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
DaYou Jiang and Jongweon Kim    
This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban     Pág. pp. 20 - 34
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In... ver más

 
en línea
Wu Dong, Hongxia Bie, Likun Lu and Yeli Li    
Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the qua... ver más
Revista: Algorithms    Formato: Electrónico

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