Nec corporation (20240104752). IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104752 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The present invention utilizes master image data to enhance the accuracy of correcting target image data. A generation unit performs an affine transformation on the target image data, creating a transformation image group with multiple transformation image data. A calculation unit determines the correlation value between the transformation image data in the group and preregistered master image data. A selection unit picks the transformation image data with the highest correlation value from the group. Finally, a correction unit adjusts the selected transformation image data based on the positional difference between the object in the master image data and the object in the chosen transformation image data.
- Generation unit performs affine transformation on target image data
- Calculation unit calculates correlation value between transformation image data and master image data
- Selection unit chooses transformation image data with highest correlation value
- Correction unit adjusts selected transformation image data based on positional displacement
Potential Applications
This technology can be applied in:
- Image processing
- Computer vision
- Medical imaging
Problems Solved
- Enhances precision in correcting target image data
- Improves alignment between objects in different images
Benefits
- Increased accuracy in image correction
- Saves time in manual image alignment processes
Potential Commercial Applications
- Medical imaging software
- Photography editing tools
- Graphic design software
Possible Prior Art
One possible prior art could be the use of image registration techniques in medical imaging to align different scans of the same patient for comparison and analysis.
Unanswered Questions
How does this technology handle non-linear transformations in image data?
The abstract does not mention how the invention deals with non-linear transformations, which could be crucial in certain applications where affine transformations are not sufficient.
What is the computational complexity of the algorithm used in this technology?
The abstract does not provide information on the computational resources required for implementing this image correction method, which could be important for real-time applications or resource-constrained devices.
Original Abstract Submitted
in the present invention, master image data is used to improve precision for correcting target image data. a generation unit () performs an affine transformation on the target image data, thereby generating a transformation image group including a plurality of transformation image data; a calculation unit () calculates a correlation value between transformation image data included in the transformation image group, and preregistered master image data; a selection unit () selects the transformation image data having the greatest correlation value from among the transformation image data included in the transformation image group; and a correction unit () corrects the selected transformation image data on the basis of the positional displacement between an object shown in the master image data and the object shown in the selected transformation image data.
