14 papers · ranked by Valyu relevance
Seiichi Uchida
This paper reviews image processing and pattern recognition techniques, which will be useful to analyze bioimages. Although this paper does not provide their technical details, it will be possible to grasp their main tasks and typical tools to handle the tasks. Image processing is a large research area to improve the…
Jianfang Cao, Min Wang, Yanfei Li, Qi Zhang + 1 more
An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. The MapReduce parallel programming model on the Hadoop platform is used to perform an…
Tatdow Pansombut, Siripen Wikaisuksakul, Kittiya Khongkraphan, Aniruth Phon-on
'Aniruth Phon-on'] This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes. The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B). They exhibit various characteristics which make it difficult to distinguish between…
Quyet-Tien Le, Patricia Ladret, Huu-Tuan Nguyen, Alice Caplier
The main goal of this paper is to study Image Aesthetic Assessment (IAA) indicating images as high or low aesthetic. The main contributions concern three points. Firstly, following the idea that photos in different categories (human, flower, animal, landscape, …) are taken with different photographic rules, image…
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…
Raphaël Marée, Pierre Geurts, Louis Wehenkel
Background With the improvements in biosensors and high-throughput image acquisition technologies, life science laboratories are able to perform an increasing number of experiments that involve the generation of a large amount of images at different imaging modalities/scales. It stresses the need for computer vision…
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…
Da-Han Wang, Wei Zhou, Jianmin Li, Yun Wu + 2 more
'Ludovic Macaire'] Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy. To make use of misclassification information, in this paper, we propose a…
Liming Wang, Kai Zhang, Xiyang Liu, Erping Long + 13 more
'Yingying An' 'Jia Zhang' 'Zhenzhen Liu' 'Zhuoling Lin' 'Xiaoyan Li' 'Jingjing Chen' 'Qianzhong Cao' 'Jing Li' 'Xiaohang Wu' 'Dongni Wang' 'Wangting Li' 'Haotian Lin'] There are many image classification methods, but it remains unclear which methods are most helpful for analyzing and intelligently identifying…
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”)…
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…
Dawid Polap, Marta Wlodarczyk-Sielicka
The existing methods for monitoring vessels are mainly based on radar and automatic identification systems. Additional sensors that are used include video cameras. Such systems feature cameras that capture images and software that analyzes the selected video frames. Methods for the classification of non-conventional…
Chern-Sheng Lin, Shih-Hua Chen, Che-Ming Chang, Tsu-Wang Shen
In this study, an innovative, ensemble learning method in a dynamic imaging system of an unmanned vehicle is presented. The feasibility of the system was tested in the crack detection of a retaining wall in a climbing area or a mountain road. The unmanned vehicle can provide a lightweight and remote cruise routine with…
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…