18647004. IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, IMAGE PROCESSING METHOD, TRAINING METHOD, AND STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)

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IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, IMAGE PROCESSING METHOD, TRAINING METHOD, AND STORAGE MEDIUM

Organization Name

CANON KABUSHIKI KAISHA

Inventor(s)

Masato Aoba of Tokyo (JP)

Koichi Magai of Yokohama-shi (JP)

IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, IMAGE PROCESSING METHOD, TRAINING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18647004 titled 'IMAGE PROCESSING APPARATUS, TRAINING APPARATUS, IMAGE PROCESSING METHOD, TRAINING METHOD, AND STORAGE MEDIUM

Simplified Explanation

The patent application describes an image processing apparatus for image recognition. It includes an extraction unit that extracts a feature amount from a target image and an estimation unit that estimates the distribution of regions with different attributes in the image based on the feature amount.

Key Features and Innovation

  • Image processing apparatus for image recognition
  • Extraction unit to extract feature amount from target image
  • Estimation unit to estimate distribution of regions with different attributes in the image

Potential Applications

This technology can be used in various fields such as:

  • Object recognition in computer vision
  • Medical image analysis
  • Surveillance systems

Problems Solved

  • Efficient feature extraction from images
  • Accurate estimation of regions with different attributes
  • Improved image recognition accuracy

Benefits

  • Enhanced image recognition capabilities
  • Faster processing of images
  • Improved accuracy in identifying regions with different attributes

Commercial Applications

  • This technology can be applied in industries such as:
  • Security and surveillance
  • Healthcare for medical imaging analysis
  • Automotive for object detection in autonomous vehicles

Questions about Image Processing Technology

How does the extraction unit extract feature amounts from images?

The extraction unit uses algorithms to analyze the target image and identify key features that are relevant for image recognition.

What are the potential challenges in estimating the distribution of regions with different attributes in images?

One potential challenge could be accurately distinguishing between regions with similar attributes but different characteristics, requiring advanced algorithms for precise estimation.


Original Abstract Submitted

There is provided with an image processing apparatus, for example, for image recognition. An extraction unit extracts a feature amount from a target image. An estimation unit estimates distribution of regions having attributes different from each other in the target image based on the feature amount.