39 Result(s)
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Article
Open AccessSkeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Furthermore, we see skeleton GTs used not only for t...
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Article
A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification
Microscopic image analysis technology helps solve the inadvertences of artificial traditional methods in disease, wastewater treatment, and environmental change monitoring analysis. Convolutional neural networ...
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Article
Open AccessWhat can machine vision do for lymphatic histopathology image analysis: a comprehensive review
Over the past 10 years, machine vision (MV) algorithms for image analysis have been develo** rapidly with computing power. At the same time, histopathological slices can be stored as digital images. Therefor...
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Article
A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches
Microorganisms play a vital role in human life. Therefore, microorganism detection is of great significance to human beings. However, the traditional manual microscopic detection methods have the disadvantages...
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Article
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer
Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and food and drug production. The ...
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Chapter and Conference Paper
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
Blood testing has always been one of the important methods for disease diagnosis, but currently, blood testing instruments face the problems of long time consumption, complex processes, and limited detection t...
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Chapter and Conference Paper
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect
Blood testing is an important basis for the diagnosis of many diseases. However, the accuracy of detection instruments in hospitals is often not high, and manual detection of blood samples is sometimes necessa...
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Article
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. Therefore, WSI analysis has become th...
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Article
A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Microorganisms such as bacteria and fungi play essential roles in many application fields, like biotechnique, medical technique and industrial domain. Microorganism counting techniques are crucial in microorga...
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Chapter and Conference Paper
Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach
In this paper we indicatively address the problem of classifying sensor signals transmitted on the Controller Area Network (CAN bus) inside cars. The aim of this work is to solve the problem of dealing with la...
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Chapter and Conference Paper
Deep Learning for Object Tracking in 360 Degree Videos
Object tracking is used to locate the position of an object over a period of time using the association of an object of interest over consecutive frames. In the last years, several methods were proposed to tra...
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Chapter and Conference Paper
Electromyography Based Translator of the Polish Sign Language
Difficult problem is to facilitate the communication of a deaf person who communicates using sign language with a person who does not know such a way of conversation. A solution to problem may be to analyze ha...
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Chapter and Conference Paper
Electrooculography Application in Vision Therapy Using Smart Glasses
The aim of this work is to present the possibility of utilizing electrooculography (EOG) device in the orthoptic therapy for strabismus and amblyopia. For this purpose a series of minigames controlled with eye...
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Chapter and Conference Paper
Sensor Headband for Emotion Recognition in a Virtual Reality Environment
Due to global digitalisation, teaching in virtual reality is becoming a growing market. Compared to learning in class, individual learning scenarios are possible. To find out, if a person is currently stressed...
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Chapter and Conference Paper
Gait Recognition Using Motion Trajectory Analysis
Gait recognition has received significant attention in the recent years due to its applications in numerous fields of computer vision, particularly in automated person identification in visual surveillance and...
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Chapter and Conference Paper
A Vision-Based Method for Automatic Crack Detection in Railway Sleepers
In this paper, a method for automatic selection and classification of the sleeper cracks is presented. This method includes three main sequential steps of image pre-processing, sleeper detection and crack dete...
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Chapter and Conference Paper
Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Owing to the difficulty and subjectivity of human interpretation, dermoscopy image analysis...
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Chapter and Conference Paper
Classification of Physiological Data for Emotion Recognition
Emotion recognition is seen to be important not only for computer science or sport activity but also for old and sick people to live independently in their own homes as long as possible. In this paper Empatica...
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Chapter and Conference Paper
Integration of Multi-modal Cues in Synthetic Attention Processes to Drive Virtual Agent Behavior
Simulations and serious games require realistic behavior of multiple intelligent agents in real-time. One particular issue is how attention and multi-modal sensory memory can be modeled in a natural but effect...
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Chapter and Conference Paper
Convoy Detection in Crowded Surveillance Videos
This paper proposes detection of convoys in a crowded surveillance video. A convoy is defined as a group of pedestrians who are moving or standing together for a certain period of time. To detect such convoys, we...
