17456422. RADIAL SUMMATION PREPROCESSING FOR IMAGE CLASSIFICATION simplified abstract (International Business Machines Corporation)

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RADIAL SUMMATION PREPROCESSING FOR IMAGE CLASSIFICATION

Organization Name

International Business Machines Corporation

Inventor(s)

Sebastien Gilbert of Granby (CA)

RADIAL SUMMATION PREPROCESSING FOR IMAGE CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17456422 titled 'RADIAL SUMMATION PREPROCESSING FOR IMAGE CLASSIFICATION

Simplified Explanation

The abstract of this patent application describes a method, computer program product, and computer system for classifying an image using a convolutional neural network (CNN). The method involves receiving an image, performing a radial summation on the image to generate a radially summed image, and inputting this radially summed image into the CNN for image classification.

  • The method involves classifying images using a convolutional neural network.
  • The image is processed by performing a radial summation, which involves summing the pixel values along radial lines originating from the center of the image.
  • The resulting radially summed image is then fed into the CNN for classification.

Potential Applications

  • Image recognition and classification tasks in various fields such as computer vision, robotics, and autonomous vehicles.
  • Medical imaging analysis for diagnosing diseases or identifying abnormalities.
  • Object detection and tracking in surveillance systems or video analysis.

Problems Solved

  • Efficiently classifying images using a convolutional neural network.
  • Enhancing the performance of image classification algorithms by incorporating radial summation preprocessing.
  • Addressing the challenges of image recognition and classification tasks in complex and diverse datasets.

Benefits

  • Improved accuracy and efficiency in image classification tasks.
  • Robustness to variations in image orientation or rotation.
  • Potential for faster processing and reduced computational requirements compared to traditional CNN approaches.


Original Abstract Submitted

A method, a computer program product, and a computer system classify an image with a convolutional neural network. The method receiving an image. The method includes performing a radial summation on the image to generate a radially summed image. The method includes inputting the radially summed image into the CNN to perform an image classification.

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