Image Segmentation with Machine Learning
Main Article Content
Abstract
As a human we have a powerful brain which is trained to identify and classify things what our eyes perceive in fast and efficient manner. Because our brain is trained in a way to analyze everything at particular level. This helps us to easily find an Apple from a bunch of Oranges. In artificial intelligence, computer vision is the field of training computers to explain to recognize and understand the visual world that humans follow. Image segmentation can provide more detailed information about the shape of the image, which is an extension of the concept of object detection. Through image segmentation, the model can easily detect objects, humans and things. Image segmentation is an important concept in computer vision and image processing. Its application areas include augmented reality, robot perception, medical image analysis for disease detection, video surveillance cameras, board defect detection, and image compression
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.