New method revolutionizes image segmentation, enhancing accuracy and reducing noise.
The scientists developed a new method to improve image segmentation by reducing the impact of image noise. They used information from nearby pixels to create a special histogram, which they then applied to the Otsu's curve thresholding algorithm. This new approach resulted in better image segmentation results, making the process more robust against noise and producing clearer images.
