Image processing device, image processing method, and program
The method effectively addresses the challenges of existing technologies by generating a reference image based on the first derivative and a marker image using the watershed method to extract contour lines from densely packed images with small brightness differences between objects or images with uneven object sizes, thus enabling accurate extraction of contour lines in images.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- RESONAC CORP
- Filing Date
- 2025-12-18
- Publication Date
- 2026-06-25
AI Technical Summary
Existing image processing methods for extracting contour lines are prone to errors due to noise interference, especially when dealing with images of densely packed objects with small brightness differences or uneven sizes.
The method involves generating a reference image based on the first derivative and a marker image based on the second derivative of the target image, using Sobel and Laplacian filters respectively, and applying the watershed method to extract contour lines using these images, which are combined to divide the target image into regions, using the watershed method to extract contour lines, thus enabling accurate extraction of contour lines in densely packed images.
This method allows for contour lines to be accurately extracted from densely packed images with small differences in brightness between objects or images with uneven sizes, thus enabling efficient creation of training images for a machine learning model that predicts contour lines.
Smart Images

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