Image Processing Apparatus Color Region Extraction
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Solution Overview
Problem
Existing image processing technologies require significant user effort for selecting and cutting out regions from images, leading to operability issues during composite image creation.
Innovation Solution
An image processing apparatus that displays a specifying frame and a color designation mark on a display unit, allowing users to easily select a partial region and designate a reference color for extracting a compositing target image, which is then composited with a selection image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a user designates pixels using a coordinate input apparatus to cut out a region, then the region can be precisely selected, but the operability and ease of operation deteriorates due to the effort required
Solution Approach 1:
The patent introduces an intermediary object (the frame with colored markers) that mediates between the user and the pixel coordinate system. Instead of directly manipulating pixels through coordinate input, the user interacts with the visual frame structure, which automatically translates their actions into precise region selections. This intermediary layer simplifies the operation while maintaining precision.
Solution Approach 2:
The system performs automatic color detection and region boundary identification based on the frame's position and the colored markers' locations. The extraction unit automatically determines the region to be cut out without requiring the user to manually specify pixel coordinates, allowing the system to serve itself in the precision-measuring task.
2Device complexity
If the specifying frame size is fixed, then the device complexity is reduced, but the adaptability to different image regions deteriorates
Solution Approach 1:
The specifying frame is designed with dynamic resizing capability, allowing it to change size according to the user's needs and the characteristics of different image regions. The frame can be enlarged or reduced while maintaining its structural simplicity, providing adaptability without significantly increasing device complexity.
3Measurement precision
If manual pixel designation is required for color selection, then color accuracy is improved, but the productivity and processing speed deteriorates
Solution Approach 1:
The extraction unit automatically detects and identifies colors within the specified region defined by the frame and markers. Instead of requiring the user to manually designate colors through coordinate input, the system autonomously analyzes the image data within the framed area and extracts the desired color information, significantly improving processing speed while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical coordinate input method with an automated image processing mechanism. The system uses computational algorithms to detect colors and regions based on the visual frame structure, substituting manual pixel-by-pixel designation with automated color space analysis and region segmentation.
Data Source
AI summary
A portable terminal includes a display control unit, an extraction unit, and a compositing unit. The display control unit displays a specifying frame for specifying a specified region which is a partial region in a display image displayed on a touch panel display, and a color designation mark for designating a reference color from colors included in an image of the specified region in the specifying frame, in superposition with the display image. The extraction unit extracts an image corresponding to the reference color designated by the color designation mark from the image of the specified region in the specifying frame, as a compositing target image. The compositing unit generates a composite image in which the compositing target image is composited in a selection image selected by a user.