New interactive image segmentation method improves accuracy and speed significantly.
Image segmentation is a crucial step in analyzing and processing image data. A new method using adaptive local thresholding has been developed to make this process more user-friendly and efficient. By creating homogeneous regions and allowing users to mark different target areas, the segmentation results are improved. The use of a multi-order sampling Gaussian mixture model reduces time consumption and enhances segmentation accuracy, especially for noisy or occluded images. This method offers faster execution speed and wider applicability compared to previous techniques.