Design of Particle Analysis System Based on Image Processing

The design of a particle analysis system based on image processing involves comprehensive preprocessing and postprocessing of particle images. The system employs image filtering techniques (such as Gaussian or median filters) to reduce noise impact and enhance image quality. Subsequently, binarization methods (using thresholding algorithms like Otsu's method) convert the grayscale images into binary format to facilitate particle isolation. Advanced image segmentation algorithms (including watershed or edge detection techniques) then separate individual particles from the background. Finally, through particle size calculation algorithms (based on pixel-to-metric calibration) and counting mechanisms (using connected component analysis), the system statistically analyzes particle size distribution and quantifies particle counts. This comprehensive particle analysis system provides accurate characterization of particle samples, offering valuable data support for scientific research and engineering applications through automated image processing workflows.