Determining the Centroid Position of Fiducial Marks in Fiducial Marker Images

This program represents the initial step in remote sensing image processing, specifically designed for interior orientation with the primary objective of determining the centroid position of fiducial marks in fiducial marker images. This process is critically important as it establishes accurate positioning information that forms the foundation for subsequent image processing operations. Through analysis of pixel distribution and grayscale levels within the fiducial marker images, the program employs computational algorithms to accurately calculate the centroid positions of the fiducial marks. This typically involves implementing image thresholding techniques, contour detection algorithms, and moment calculation functions to achieve sub-pixel accuracy in centroid determination. The accurate centroid data provided by this program enables reliable information for downstream remote sensing image analysis and applications. The implementation may include advanced image processing options such as shape recognition algorithms for fiducial mark classification, color extraction methods for multi-spectral analysis, and pattern matching techniques for automated fiducial identification. These enhanced capabilities significantly expand the functionality and application scope of remote sensing image processing systems, supporting more sophisticated geometric corrections and precision measurements in photogrammetric workflows. The code architecture generally incorporates modules for image enhancement, noise reduction filters, binary image processing, and mathematical morphology operations to ensure robust performance across varying image qualities and lighting conditions. Key functions often include adaptive thresholding for mark segmentation, connected component analysis for mark isolation, and central moment calculations for precise centroid coordinates.