Results 41 to 50 of about 4,607,251 (413)

Advancements in Research on Micro-motion Feature Extraction in the Terahertz Region

Leida xuebao, 2018
With years of development and accumulation, a considerable amount of research has focused on micro-motion, an important auxiliary feature in radar target detection and recognition. With the recent rise of terahertz, micro-motion feature extraction in the
Yang Qi, Deng Bin, Wang Hongqiang, Qin Yuliang   +3 more
doaj   +1 more source

K-MEANS CLUSTERING FOR EGG EMBRYO'S DETECTION BASED-ON STATISTICAL FEATURE EXTRACTION APPROACH OF CANDLING EGGS IMAGE

Jurnal Ilmiah SINERGI, 2020
This research discusses the detection of embryonic eggs using the k-means clustering method based on statistical feature extraction. The processes that occur in detection are image acquisition, image enhancement, feature extraction, and identification ...
Shoffan Saifullah
doaj   +1 more source

Feature Extraction Methods: A Review

Journal of Physics: Conference Series, 2020
Feature extraction is the main core in diagnosis, classification, clustering, recognition, and detection. Many researchers may by interesting in choosing suitable features that used in the applications.
Wamidh K. Mutlag, Shaker K. Ali, Zahoor M. Aydam, B. Taher   +3 more
semanticscholar   +1 more source

A color extraction algorithm by segmentation

Scientific Reports, 2023
The segmentation and extraction on color features can provide useful information for many different application domains. However, most of the existing image processing algorithms on feature extraction are gray image-based and consider only one ...
QingE Wu, Zhenggaoyuan Fang, Zhichao Song, Hu Chen, Yingbo Lu, Lintao Zhou, Xiaoliang Qian   +6 more
doaj   +1 more source

Fingerprint Feature Extraction for Indoor Localization

Sensors, 2021
This paper proposes a fingerprint-based indoor localization method, named FPFE (fingerprint feature extraction), to locate a target device (TD) whose location is unknown. Bluetooth low energy (BLE) beacon nodes (BNs) are deployed in the localization area
Jehn-Ruey Jiang, Hanas Subakti, Hui-Sung Liang   +2 more
doaj   +1 more source

Image Feature Extraction Acceleration [PDF]

, 2016
Peer ...
Fernández Berni, Jorge, Suárez Cambre, Manuel, Carmona Galán, Ricardo, Brea Sánchez, Víctor Manuel, Río Fernández, Rocío del, Cabello, D., Rodríguez Vázquez, Ángel Benito   +6 more
openaire   +3 more sources

Feature Extraction [PDF]

, 2017
Feature extraction is a procedure aimed at selecting and transforming a data set in order to increase the performance of a pattern recognition or machine learning system.
Gorriz, Juan Manuel, Martinez-Murcia, Francisco Jesus, Ramírez, Javier   +2 more
core   +1 more source

A Novel Multi-Feature Fusion Method in Merging Information of Heterogenous-View Data for Oil Painting Image Feature Extraction and Recognition

Frontiers in Neurorobotics, 2021
The art of oil painting reflects on society in the form of vision, while technology constantly explores and provides powerful possibilities to transform the society, which also includes the revolution in the way of art creation and even the way of ...
Tong Chen, Juan Yang
doaj   +1 more source

An analysis of Feature extraction and Classification Algorithms for Dangerous Object Detection [PDF]

, 2017
One of the important practical applications of object detection and image classification can be for security enhancement. If dangerous objects e.g. knives can be identified automatically, then a lot of violence can be prevented. For this purpose, various
HASAN, Mohammad, Kibria, Sakib B.
core   +1 more source

Text feature extraction based on deep learning: a review

EURASIP Journal on Wireless Communications and Networking, 2017
Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new
Hong Liang, Xiao Sun, Yunlei Sun, Yuan Gao   +3 more
doaj   +1 more source