Sensors and Their Application for Objects Enhanced Detection, Identification, and Segmentation in Biological and Medical Fields
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 15 September 2024 | Viewed by 1107
Special Issue Editors
Interests: computer vision; feature extraction; learning (artificial intelligence); object detection; cameras; deep learning (artificial intelligence); edge detection; image classification; image color analysis; image reconstruction; image retrieval; remote sensing
Interests: Machine learning; Data mining; Multimedia computing; Information retrieval
Interests: Computer vision; medical image analysis; image segmentation; machine learning
Interests: multi-modal learning; trust machine learning; recommender system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Object detection and segmentation using on sensing technology refers to the use of advanced sensing techniques and algorithms to identify and segment objects or entities in a given environment.
It involves the development and implementation of computer vision systems that can automatically detect, track, and segmentation specific objects or patterns in real time. Sensing technology plays a crucial role in object detection and segmentation by capturing and processing data using various technologies, such as cameras, medical imaging devices (CT, MRI, and ultrasound imaging), LiDAR (Light Detection and Ranging), radar, or thermal sensors.
These sensors enable the acquisition of visual or non-visual data, which are then analyzed using intelligent algorithms to identify and segment objects based on their characteristics, such as shape, color, size, or motion. Object detection and segmentation systems have numerous applications across various industries. In the field of autonomous vehicles, these technologies detect and track pedestrians, other vehicles, and road signs to ensure safe navigation. In surveillance and security, object detection and recognition help identify suspicious activities or intrusions in real time. In the field of medical image processing, these techniques accurately detect and segment lesion areas. They are also used in industrial automation to monitor and control manufacturing processes, track inventory, or ensure workplace safety.
The processes of object detection and segmentation typically involve multiple stages, including image or data acquisition, preprocessing, feature extraction, classification, and post-processing. During feature extraction, algorithms identify specific patterns or characteristics that distinguish the objects of interest from the background or other objects. Classification algorithms then use these features to categorize objects into predefined classes or categories. The development of object detection and segmentation systems based on sensing technology relies on continuous hardware and software advancements. These technologies hold great potential for enhancing efficiency, safety, and automation in various domains by performing accurate and reliable detection and segmentation.
We welcome both original research papers and review articles that showcase the significant developments in these fields. Potential areas of interest include, but are not limited to, the following:
- enhanced detection;
- object identification;
- object segmentation;
- object tracking;
- 3D object detection;
- signal processing methods
- advanced algorithms;
- sensor data analysis;
- feature extraction;
- machine learning;
- computer vision;
- sensor fusion;
- cameras;
- multimodal sensors
Dr. Pengfei Xu
Prof. Dr. Ziyu Guan
Dr. Tiange Liu
Dr. Cai Xu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- enhanced detection
- object identification
- object segmentation
- object tracking
- 3D object detection
- signal processing methods
- advanced algorithms
- sensor data analysis
- feature extraction
- machine learning
- computer vision
- sensor fusion
- cameras
- multimodal sensors
