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Search · four archives
17 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…
Lior Shamir, John D. Delaney, Nikita Orlov, D. Mark Eckley + 2 more
'Ilya G. Goldberg' 'Fran Lewitter'] The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse datasets. Most automated image…
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…
Subrahmanyam Murala, Santosh Kumar Vipparthi, Zahid Akhtar
Vision-based systems for healthcare applications utilize computer vision techniques to provide intelligent support to patients and medical practitioners for common needs to sophisticated technical assistance. With the ease of availability and advancements in sensing, mobile devices, and computing power, development of…
Yufeng Zheng, Erik Blasch, Adel S. Elmaghraby
State-of-the-art image analysis and pattern recognition techniques have been successfully applied to a wide variety of industrial fields such as medical imaging, remote sensing, and biometrics, as well as methods for machine learning, computer vision, and visualization. However, the current methods of image analysis…
Petr Cisar, Dinara Bekkozhayeva, Oleksandr Movchan, Mohammadmehdi Saberioon + 1 more
'Mohammadmehdi Saberioon' 'Rudolf Schraml'] Precision fish farming is an emerging concept in aquaculture research and industry, which combines new technologies and data processing methods to enable data-based decision making in fish farming. The concept is based on the automated monitoring of fish, infrastructure, and…
Evgeny Gladilin, Roland Eils
Numerous findings indicate that spatial phase bears an important cognitive information. Distortion of phase affects topology of edge structures and makes images unrecognizable. In turn, appropriately phase-structured patterns give rise to various illusions of virtual image content and apparent motion. Despite a large…
Abdulwahab Alazeb, Bisma Riaz Chughtai, Naif Al Mudawi, Yahya AlQahtani + 4 more
'Yahya AlQahtani' 'Mohammed Alonazi' 'Hanan Aljuaid' 'Ahmad Jalal' 'Hui Liu'] Introduction During the last few years, a heightened interest has been shown in classifying scene images depicting diverse robotic environments. The surge in interest can be attributed to significant improvements in visual sensor technology…
Dawei Zhang, Tingting Yang
Eye tracking is currently a research hotspot in the territory of service robotics. There is an urgent need for machine vision technique in the territory of video surveillance, and biological visual object following is one of the important basic research problems. By tracking the object of interest and recording the…
Shilpa Rani, Deepika Ghai, Sandeep Kumar, MVV Prasad Kantipudi + 2 more
In computer vision and medical image processing, object recognition is the primary concern today. Humans require only a few milliseconds for object recognition and visual stimulation. This led to the development of a computer-specific pattern recognition method in this study for identifying objects in medical images…
Pinhe Wang, Jianzhong Qiao, Nannan Liu
To solve the problems existing in the research of scene recognition, this paper studies a new convolutional neural network target detection model to achieve a better balance between the accuracy and speed of high-speed scene image recognition. First, aiming at the problem that the image is easy to be disturbed by…
Fabio Bellavia, Giovanna Castellano, Gennaro Vessio
Cultural heritage, especially the fine arts, plays an invaluable role in the cultural, historical, and economic growth of our societies. Works of fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture, and architecture. In recent years, owing to technological…
Yaser Daanial Khan, Nabeel Sabir Khan, Shoaib Farooq, Adnan Abid + 3 more
'Sher Afzal Khan' 'Farooq Ahmad' 'M. Khalid Mahmood'] Recognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention. In…
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…
Peng Peng, Ivens Portugal, Paulo Alencar, Donald Cowan + 1 more
analysis A face recognition software framework based on principal component analysis Authors: ['Peng Peng' 'Ivens Portugal' 'Paulo Alencar' 'Donald Cowan' 'Robertas Damaševičius'] Face recognition, as one of the major biometrics identification methods, has been applied in different fields involving economics, military…
Sana Ullah, Jie Ou, Yuanlun Xie, Wenhong Tian + 1 more
With the cutting-edge advancements in computer vision, facial expression recognition (FER) is an active research area due to its broad practical applications. It has been utilized in various fields, including education, advertising and marketing, entertainment and gaming, health, and transportation. The facial…
Anna Elisabeth Schnell, Kasper Vinken, Hans Op de Beeck
Models of object recognition have mostly focused upon the hierarchical processing of objects from local edges up to more complex shape features. An alternative strategy that might be involved in pattern recognition centres around coarse-level contrast features. In humans and monkeys, the use of such features is most…