177   Artículos

 
en línea
Houaria ABED, Lynda ZAOUI     Pág. 97 - 113
Recent years have witnessed great interest in developing methods for content-based image retrieval (CBIR). Generally, the image search results which are returned by an image search engine contain multiple topics, and organizing the results into different... ver más
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Jiajia Peng and Tianbing Tang    
Image captioning, also recognized as the challenge of transforming visual data into coherent natural language descriptions, has persisted as a complex problem. Traditional approaches often suffer from semantic gaps, wherein the generated textual descript... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Miranda Bellezza, Azzurra di Palma and Andrea Frosini    
Alzheimer?s disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive functions due to the deterioration of brain tissue. Current diagnostic methods are often invasive or costly, limiting their widespread use. Developing non-invasi... ver más
Revista: Information    Formato: Electrónico

 
en línea
Xuanyuan Xie and Jieyu Zhao    
The diffusion model has made progress in the field of image synthesis, especially in the area of conditional image synthesis. However, this improvement is highly dependent on large annotated datasets. To tackle this challenge, we present the Guided Diffu... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yaxin Wang, Qi Liu, Jie Yang, Guihong Ren, Wenqi Wang, Wuping Zhang and Fuzhong Li    
To address the current problem of the difficulty of extracting the phenotypic parameters of tomato plants in a non-destructive and accurate way, we proposed a method of stem and leaf segmentation and phenotypic extraction of tomato plants based on skelet... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Feng Peng and Kai Li    
Most existing deep image clustering methods use only class-level representations for clustering. However, the class-level representation alone is not sufficient to describe the differences between images belonging to the same cluster. This may lead to hi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yiming Tang, Rui Chen and Bowen Xia    
Nowadays, most fuzzy clustering algorithms are sensitive to the initialization results of clustering algorithms and have a weak ability to handle high-dimensional data. To solve these problems, we developed the viewpoint-driven subspace fuzzy c-means (VS... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Christopher M. Holmes, Joshua Pritsolas, Randall Pearson, Carolyn Butts-Wilmsmeyer and Thorsten Schad    
In cultivated landscapes, grasslands are an important land use type for insect life. Grassland management practices can have a significant impact on insect ecology. For example, intense fertilization and frequent cutting can reduce the diversity and abun... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yifeng Ren, Qingyan Li and Zhe Liu    
Plant diseases and pests may seriously affect the yield of crops and even threaten the survival of human beings. The characteristics of plant diseases and insect pests are mainly reflected in the occurrence of lesions on crop leaves. Machine vision disea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pradeep S. Naulia, Arunava Roy, Junzo Watada and Izzatdin B. A. Aziz    
The purpose of the current study is to propose a novel meta-heuristic image analysis approach using multi-objective optimization, named ?Pixel-wise k-Immediate Neighbors? to identify pores and fractures (both natural and induced, even in the micro-level)... ver más
Revista: Algorithms    Formato: Electrónico

« Anterior     Página: 1 de 12     Siguiente »