18387500. IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD simplified abstract (CANON KABUSHIKI KAISHA)
IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD
Organization Name
Inventor(s)
Itaru Otomaru of Kanagawa (JP)
IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18387500 titled 'IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD
Simplified Explanation
The patent application describes an image processing apparatus that acquires and processes three-dimensional images of objects to obtain cross-sectional images for analysis and correction of parameters.
- Image processing apparatus for acquiring and processing three-dimensional images
- Includes memory and processor for image acquisition and parameter estimation
- Reduces resolution of images and acquires three-dimensional images of objects
- Estimates initial parameter based on adjustable parameter value
- Acquires cross-sectional images based on initial parameter estimation
- Estimates indicator for correcting initial parameter, associated with specific cross-sectional image
Potential Applications
This technology could be used in medical imaging for analyzing and diagnosing conditions based on cross-sectional images of organs or tissues. It could also be applied in industrial settings for quality control and inspection of components.
Problems Solved
This technology helps in accurately estimating parameters and correcting them based on indicators, leading to improved analysis and interpretation of cross-sectional images. It streamlines the process of acquiring and processing three-dimensional images for various applications.
Benefits
The benefits of this technology include enhanced accuracy in parameter estimation, improved quality of cross-sectional images, and efficient correction of parameters for better analysis. It can lead to more precise and reliable results in image processing tasks.
Potential Commercial Applications
The potential commercial applications of this technology include medical imaging devices, industrial inspection systems, and research equipment for analyzing three-dimensional images and cross-sectional data. These applications could cater to healthcare, manufacturing, and scientific research industries.
Possible Prior Art
One possible prior art in this field could be the use of similar image processing techniques in medical imaging devices or industrial inspection systems. Research papers or patents related to parameter estimation and correction in image processing may also exist.
Unanswered Questions
How does this technology compare to existing image processing methods in terms of accuracy and efficiency?
This article does not provide a direct comparison with existing methods in terms of accuracy and efficiency. Further research or testing may be needed to evaluate the performance of this technology against other image processing techniques.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address potential limitations or challenges in implementing this technology in real-world applications. Factors such as cost, compatibility with existing systems, and user training requirements could be important considerations for adoption.
Original Abstract Submitted
An image processing apparatus includes at least one memory and at least one processor which function as an image acquiring unit configured to reduce a resolution of the three-dimensional image and acquire a three-dimensional image of an object, an initial parameter estimating unit configured to estimate an initial parameter in accordance with an initial value of an adjustable parameter to be utilized in obtaining a reference cross section, a cross sectional image acquiring unit configured to acquire one or more cross sectional images based on the three-dimensional image and the initial parameter, and an indicator estimating unit configured to estimate an indicator to be contributed to correcting the initial parameter, wherein the estimated indicator is in association with a specified cross sectional image out of the one or more cross sectional images.
