The article presents a study on using particle-like fractal images to test algorithms that measure boundary fractal dimension. The researchers aimed to assess the accuracy of these algorithms in determining the complexity of fractal boundaries. By analyzing these particle-like images, they were able to evaluate the performance of the measurement algorithms. The key findings suggest that these algorithms can effectively quantify the fractal dimension of boundaries, providing valuable insights into the intricacies of fractal patterns.