Golden Sample Extraction for IC Chip Inspection
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Solution Overview
Problem
The process of forming golden samples for IC chip quality inspection is complex and time-consuming, requiring efficient image processing techniques to improve efficiency.
Innovation Solution
An image processing apparatus and method that includes a storage medium and processor, utilizing modules for image obtaining, chip detection, and display, which work together to efficiently capture, process, and display images of IC chips, facilitating the formation of golden samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional image processing methods are used for forming golden samples, then the quality inspection can be performed, but the process is complex and time-consuming
Solution Approach 1:
The patent applies preliminary action by pre-processing images to detect chip positions and generate bounding boxes before final golden sample formation. The system performs initial image processing, identifies chip locations, and prepares candidate regions in advance, which streamlines the subsequent golden sample creation process and reduces overall processing time.
2Measurement precision
If complex image processing steps are executed to ensure accurate chip detection, then detection accuracy is improved, but the process complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct modules: image obtaining module, chip detection module, and display module. Each module handles a specific function - capturing images, detecting chip positions and generating bounding boxes, and displaying results respectively. This modular segmentation maintains detection accuracy while reducing overall system complexity through functional decomposition.
Solution Approach 2:
The patent introduces an intermediary mechanism in the form of bounding boxes that mediate between raw image data and final chip position identification. The chip detection module generates bounding boxes as intermediate structures that encapsulate chip positions, making the detection process more manageable and accurate without requiring overly complex direct analysis of the entire image.
Data Source
AI summary
A method of improving an efficiency of forming the golden samples obtains an image with a chip. Position information of the chip in the image is obtained based on the image. A target region on the image is labeled based on the position information. The target region is a region of the image covered by the chip. The target region is cut from the image to obtain a golden sample. An image process apparatus is also provided.