研究目的
Investigating the use of image analysis technology and BP neural network for extracting human body feature parameters to aid in personalized clothing customization.
研究成果
The method presented in the paper effectively extracts human body feature parameters using image analysis technology and BP neural network, showing promising results for personalized clothing customization.
研究不足
The study is limited by the sample size and the variability in human body shapes, which may affect the generalization of the results.
1：Experimental Design and Method Selection:
The study uses image analysis technology to extract human body features and BP neural network for modeling.
2：Sample Selection and Data Sources:
22 subjects (11 males and 11 females) were selected, with images taken by a mobile MI
3：List of Experimental Equipment and Materials:
Mobile MI 4 for image capture, MATLAB R2014b
4：4 for data processing. Experimental Procedures and Operational Workflow:
Images were binarized, feature regions were extracted, and BP neural network was used for curve fitting.
5：Data Analysis Methods:
The method's effectiveness was evaluated by comparing the input and output parameters of the neural network.
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