The article discusses a new filter designed to detect object boundaries and edges in images, especially in noisy ones. Traditional methods like sobel and canny may struggle with noisy backgrounds, leading to inaccurate edge detection. The researchers introduced a novel filter that outperformed these traditional methods in both quality and quantity. They tested the filter on images with added noise and found it to be more effective in identifying object boundaries and edges compared to existing techniques.