Centroid Calculation

In the given context, we need to calculate the center coordinates of speckle patterns in scattering images. This task can be accomplished using image processing algorithms and mathematical computation methods. The implementation typically involves several key steps: First, convert the image to grayscale format using functions like rgb2gray() in MATLAB or cv2.cvtColor() in OpenCV, followed by image enhancement techniques such as histogram equalization to improve image quality. Next, apply edge detection algorithms like Canny or Sobel operators to detect speckle boundaries. Then, perform morphological operations including dilation and erosion to refine the image and extract clear speckle regions. Finally, calculate precise center coordinates using geometric computation methods - for binary images, the regionprops() function can directly compute centroids, while for coordinate-based calculations, the center can be determined through weighted averaging of pixel coordinates based on intensity values. These steps enable accurate determination of speckle pattern centers in scattering images, facilitating better understanding and analysis of scattering phenomena.