Image Segmentation: Trends and Challenges
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 31 January 2026 | Viewed by 10
Special Issue Editor
Interests: deep learning; computer vision; audio source separation; music information retrieval
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image segmentation is a subfield of computer vision that focuses on partitioning an image into areas corresponding to different semantic classes. Image segmentation techniques vary, depending on how input image areas are classified and labeled. They can be broadly categorized into the areas of semantic segmentation, instance segmentation, and panoptic segmentation. The development of deep learning techniques has seen the emergence of a variety of techniques that address the aforementioned computer vision tasks. The developed techniques have achieved improved performance, compared to the previous state of the art, which has raised expectations for modern computer vision. Novel deep learning concepts and networks appear almost daily, and they have thus attracted significant attention from scientists worldwide. The aim of this Special Issue is to present novel approaches in the field of image segmentation that surpass the current state of the art and introduce novel concepts to the field.
Prof. Dr. Nikolaos Mitianoudis
Guest Editor
Manuscript Submission Information
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Keywords
- deep learning
- semantic segmentation
- instance segmentation
- panoptic segmentation
- image binarization
- automated driving perception
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