18539303. IMAGE SEARCH DEVICE, IMAGE SEARCH METHOD, AND IMAGE SEARCH PROGRAM simplified abstract (FUJIFILM CORPORATION)
Contents
IMAGE SEARCH DEVICE, IMAGE SEARCH METHOD, AND IMAGE SEARCH PROGRAM
Organization Name
Inventor(s)
Kazuma Kobayashi of Tokyo (JP)
IMAGE SEARCH DEVICE, IMAGE SEARCH METHOD, AND IMAGE SEARCH PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18539303 titled 'IMAGE SEARCH DEVICE, IMAGE SEARCH METHOD, AND IMAGE SEARCH PROGRAM
Simplified Explanation
The abstract describes a patent application for a processor that can search for specific findings in images by comparing image features. Here is a simplified explanation of the abstract:
- Processor searches for specific findings in images
- Compares image features to find similarities
- Utilizes an image database for reference
Potential Applications: This technology could be used in medical imaging to assist in the diagnosis of diseases or abnormalities by quickly identifying specific findings in images.
Problems Solved: This technology streamlines the process of finding specific features in images, saving time and improving accuracy in various fields such as healthcare and security.
Benefits: - Faster and more accurate image analysis - Improved diagnostic capabilities - Enhanced efficiency in various industries
Potential Commercial Applications: "Image Feature Comparison Processor for Medical Imaging Analysis"
Possible Prior Art: One possible prior art could be image recognition software that compares image features to identify objects or patterns in images.
Unanswered Questions: 1. How does the processor handle variations in image quality or resolution when comparing image features? 2. What are the limitations of the processor in terms of the types of findings it can accurately identify in images?
Original Abstract Submitted
A processor receives an input of finding information indicating at least one finding, which is desired to be searched for, on a query base image, which includes a part desired to be searched for and is a source of a query image, to derive the query image to which the finding has been added, derives at least one added finding feature amount indicating an image feature for the added finding, and derives a query normal feature amount indicating an image feature for a normal region included in the part in the query base image. The processor derives similarities between the query image and a plurality of reference images including findings on the basis of comparisons between the added finding feature amount and the query normal feature amount and the like with reference to an image database in which the plurality of reference images have been registered and extracts the reference image that is similar to the query image as a similar image from the image database on the basis of the similarities.
