17578639. IMAGE SEGMENTATION METHOD AND DEVICE simplified abstract (Samsung Electronics Co., Ltd.)

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IMAGE SEGMENTATION METHOD AND DEVICE

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Suji Kim of Suwon-si (KR)

Seungjun Shin of Hwaseong-si (KR)

Dokwan Oh of Hwaseong-si (KR)

IMAGE SEGMENTATION METHOD AND DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17578639 titled 'IMAGE SEGMENTATION METHOD AND DEVICE

Simplified Explanation

Abstract: An electronic device uses an image to extract feature data, which is then used to generate image segmentation data. This is done by calculating class maps and cluster maps from the feature data using a classifier layer and a clustering layer, respectively.

Patent/Innovation:

  • Electronic device extracts feature data from an input image
  • Calculates one or more class maps from the feature data using a classifier layer
  • Calculates one or more cluster maps from the feature data using a clustering layer
  • Generates image segmentation data using the class maps and cluster maps

Potential Applications:

  • Image recognition and classification
  • Object detection and tracking
  • Medical imaging analysis
  • Autonomous vehicles and robotics
  • Augmented reality and virtual reality

Problems Solved:

  • Efficient and accurate image segmentation
  • Simplified feature extraction from images
  • Improved classification and clustering of image data
  • Enhanced understanding and interpretation of images

Benefits:

  • Improved accuracy and reliability in image segmentation
  • Faster processing and analysis of images
  • Enables advanced applications in various fields
  • Enhances decision-making and automation processes


Original Abstract Submitted

An electronic device extracts feature data from an input image, calculates one or more class maps from the feature data using a classifier layer, calculates one or more cluster maps from the feature data using a clustering layer, and generates image segmentation data using the one or more class maps and the one or more cluster maps.