16 papers · ranked by Valyu relevance
Adam Stančić, Vedran Vyroubal, Vedran Slijepčević, Pier Luigi Mazzeo
This paper presents the evaluation of 36 convolutional neural network (CNN) models, which were trained on the same dataset (ImageNet). The aim of this research was to evaluate the performance of pre-trained models on the binary classification of images in a “real-world” application. The classification of wildlife…
Zhongrong Shi, Yun Ma, Maosheng Fu
Computer vision is one of the hottest research directions in artificial intelligence at present, and its research goal is to give computers the ability to perceive and cognize their surroundings from a single image. Image recognition is an important research direction in the field of computer vision, which has…
Bekhzod Olimov, Barathi Subramanian, Rakhmonov Akhrorjon Akhmadjon Ugli, Jea-Soo Kim + 1 more
'Rakhmonov Akhrorjon Akhmadjon Ugli' 'Jea-Soo Kim' 'Jeonghong Kim'] Extracting useful features at multiple scales is a crucial task in computer vision. The emergence of deep-learning techniques and the advancements in convolutional neural networks (CNNs) have facilitated effective multiscale feature extraction that…
Maminiaina Alphonse Rafidison, Hajasoa Malalatiana Ramafiarisona, Paul Auguste Randriamitantsoa, Sabine Harisoa Jacques Rafanantenana + 3 more
'Paul Auguste Randriamitantsoa' 'Sabine Harisoa Jacques Rafanantenana' 'Faniriharisoa Maxime Rajaonarison Toky' 'Lovasoa Patrick Rakotondrazaka' 'Andry Harivony Rakotomihamina'] Recently, most image classification studies solicit the intervention of convolutional neural networks because these DL-based classification…
Francisco Garibaldi-Márquez, Gerardo Flores, Diego A. Mercado-Ravell, Alfonso Ramírez-Pedraza + 2 more
Crop and weed discrimination in natural field environments is still challenging for implementing automatic agricultural practices, such as weed control. Some weed control methods have been proposed. However, these methods are still restricted as they are implemented under controlled conditions. The development of a…
Somaieh Amraee, Maryam Chinipardaz, Mohammadali Charoosaei
This paper addresses the efficiency of two feature extraction methods for classifying small metal objects including screws, nuts, keys, and coins: the histogram of oriented gradients (HOG) and local binary pattern (LBP). The desired features for the labeled images are first extracted and saved in the form of a feature…
Chen Xu, Jiangxing Wu, Fan Zhang, Jonathan Freer + 2 more
'Yihua Cheng'] Aiming at the problem of image classification with insignificant morphological structural features, strong target correlation, and low signal-to-noise ratio, combined with prior feature knowledge embedding, a deep learning method based on ResNet and Radial Basis Probabilistic Neural Network (RBPNN) is…
Mauro Tropea, Giuseppe Fedele, Raffaella De Luca, Domenico Miriello + 2 more
'Floriano De Rango' 'Hsiao-Chun Wu'] This paper presents an automatic recognition system for classifying stones belonging to different Calabrian quarries (Southern Italy). The tool for stone recognition has been developed in the SILPI project (acronym of “Sistema per l’Identificazione di Lapidei Per Immagini”)…
Shahriar M. Kabir, Mohammed I. H. Bhuiyan, Gary J. Whitman
Deep learning-based automatic classification of breast tumors using parametric imaging techniques from ultrasound (US) B-mode images is still an exciting research area. The Rician inverse Gaussian (RiIG) distribution is currently emerging as an appropriate example of statistical modeling. This study presents a new…
Lanqing Huang, Cheng Yao, Lingyan Zhang, Shijian Luo + 2 more
'Weiqiang Ying'] Advances in computer image recognition have significantly impacted many industries, including healthcare, security and autonomous systems. This paper aims to explore the potential of improving image algorithms to enhance computer image recognition. Specifically, we will focus on regression methods as a…
Jianing Yang, Ran Chen, Yicheng Peng, Lingyun Zhang + 3 more
Achieving rapid and accurate object classification holds significant importance in various domains. However, conventional vision-based techniques suffer from several limitations, including high data redundancy and strong dependence on image quality. In this work, we present a high-speed, image-free object…
Qi He, Qianqian Zhao, Danfeng Zhao, Bilin Liu + 2 more
'Dariusz Kucharczyk'] Simple Summary Cephalopods are not only important economic products in fisheries, but also located in the middle pyramid of the marine ecosystem, playing a role of carrying the top and bottom. Cephalopods are the meals of large marine mammals, and their soft tissues are mostly digested in the…
Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li + 4 more
'Xinyu Huang' 'Marcin Grzegorzek' 'Chen Li'] Introduction Gastric cancer is the fifth most common cancer in the world. At the same time, it is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the treatment of gastric cancer. Nowadays, computer technology has advanced rapidly to assist…
Rui Sun, Zhengyin Zhang, Yajun Liu, Xiaohang Niu + 1 more
Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical imaging AI systems and big data analytics play an important role in the technology of content based remote sensing (CBRS) development. Environmental data, information…
Rafał Tkaczyk, Grzegorz Madejski, Dawid Gradolewski, Damian Dziak + 2 more
'Wlodek J. Kulesza' 'Oscar Reinoso Garcia'] With the expansion of green energy, more and more data show that wind turbines can pose a significant threat to some endangered bird species. The birds of prey are more frequently exposed to collision risk with the wind turbine blades due to their unique flight path patterns.…
Daniel S. da Silva, Caio S. Nascimento, Senthil K. Jagatheesaperumal, Victor Hugo C. de Albuquerque + 4 more
'Victor Hugo C. de Albuquerque' 'Antonio Celesti' 'Ivanoe De Falco' 'Giovanna Sannino' 'Lorenzo Carnevale'] Breast cancer is the type of cancer with the highest incidence and global mortality of female cancers. Thus, the adaptation of modern technologies that assist in medical diagnosis in order to accelerate, automate…