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
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.