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The paper discusses an efficient technique for precisely assessing foot dimensions through advanced image processing methods. The method combines object recognition and alternative measurement approaches to align foot images with real-world measurements. Initially, the algorithm performs object recognition to identify the foot region and a reference object. Subsequently, edge detection is applied to the identified foot region, followed by object contour detection to isolate the foot area. Finally, alternative measurement techniques are employed to accurately determine foot dimensions. Using OpenCV for image analysis and NumPy for mathematical computations, the algorithm achieves remarkable precision. Experimental findings validate its effectiveness in precisely measuring foot dimensions.

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An Efficient Approach for Assessing Foot Using Advanced Image Processing and Computer Vision Techniques for Dimension Estimation

  • 会议论文

  • 发表日期：

    2025年

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  • D. K. Chaturvedi,
  • Agam Swaroop Satsangi Penumatsa,
  • Kushagra Chaturvedi

摘要

The paper discusses an efficient technique for precisely assessing foot dimensions through advanced image processing methods. The method combines object recognition and alternative measurement approaches to align foot images with real-world measurements. Initially, the algorithm performs object recognition to identify the foot region and a reference object. Subsequently, edge detection is applied to the identified foot region, followed by object contour detection to isolate the foot area. Finally, alternative measurement techniques are employed to accurately determine foot dimensions. Using OpenCV for image analysis and NumPy for mathematical computations, the algorithm achieves remarkable precision. Experimental findings validate its effectiveness in precisely measuring foot dimensions.