Dell Products L.P. (20240242485). METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING SEGMENTED IMAGES simplified abstract
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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING SEGMENTED IMAGES
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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING SEGMENTED IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242485 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING SEGMENTED IMAGES
The abstract of this patent application describes a method, electronic device, and computer program product for generating segmented images using a cycle generative adversarial network.
- Input a to-be-processed image to a first generator obtained from training with a first discriminator, a second generator, and a second discriminator.
- Acquire segmented images of the to-be-processed image generated by the first generator.
- Obtain segmented images with improved accuracy and reduce training resources required for training a generator, improving training speed and saving resources.
Potential Applications: - Image processing and editing software - Medical imaging for segmentation of organs or tissues - Autonomous vehicles for object detection and classification
Problems Solved: - Improved accuracy in generating segmented images - Reduction in training resources required for training a generator
Benefits: - Faster training speed - Resource savings - Enhanced accuracy in image segmentation
Commercial Applications: Title: "Advanced Image Segmentation Technology for Enhanced Accuracy" This technology can be used in industries such as healthcare, automotive, and graphic design for improved image processing and segmentation capabilities.
Questions about Image Segmentation Technology: 1. How does this technology compare to traditional image segmentation methods?
- This technology utilizes a cycle generative adversarial network to generate segmented images with improved accuracy and efficiency compared to traditional methods.
2. What are the potential limitations of using a cycle generative adversarial network for image segmentation?
- Some potential limitations may include the complexity of training the network and the need for sufficient computational resources.
Original Abstract Submitted
embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for generating segmented images. the method includes inputting a to-be-processed image to a first generator, where the first generator is obtained from training by using a first discriminator for the first generator, a second generator, and a second discriminator for the second generator, and the first generator, the first discriminator, the second generator, and the second discriminator form a cycle generative adversarial network. the method further includes acquiring segmented images of the to-be-processed image that are generated by the first generator. by means of the method, segmented images with improved accuracy can be obtained, and training resources required in a process of training a generator can be greatly reduced, thereby improving the training speed and saving training resources.
