研究目的
To present an algorithm to detect bone fracture from X-Ray images of human fingers using image processing.
研究成果
The proposed algorithm for detecting bone fractures from X-Ray images of human fingers using image processing shows promise with an expected accuracy of more than 80%. It can be expanded to cover other parts of the human body.
研究不足
The algorithm is specifically designed for detecting fractures in human fingers and may not be directly applicable to other parts of the human body without modification.
1：Experimental Design and Method Selection:
The algorithm includes steps such as preprocessing using CLHE and guided filter, edge detection using canny method, segmentation using active contour method, finding ROI, feature extraction, and interpretation.
2：Sample Selection and Data Sources:
A dataset of 50 X-Ray images, with or without fracture, collected from hospitals or downloaded from the internet.
3：List of Experimental Equipment and Materials:
X-Ray images, Scilab image processing tool.
4：Experimental Procedures and Operational Workflow:
Input X-Ray image, preprocessing, edge detection, segmentation, ROI identification, feature extraction, and interpretation.
5：Data Analysis Methods:
Features such as region area, region number, subregion description, magnitude of the fracture edge, direction of the fracture edge, the angle between fracture line and perpendicular line are extracted for interpretation.
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