Semi-automatic Segmentation of Homogeneous Color Regions in Color Images

Semi-automatic segmentation of color-homogeneous regions in color images can achieve effects comparable to Photoshop's Magic Wand tool by labeling pixels within each region. This approach enables users to more conveniently select and edit specific color areas, thereby enhancing the efficiency and accuracy of image processing. The underlying algorithm typically employs color similarity metrics and region-growing techniques to automatically identify areas with similar color characteristics in the image, segmenting them into distinct regions for subsequent operations. This semi-automatic segmentation method finds extensive applications in various image processing domains, including image editing, computer vision, and image analysis. By implementing color distance calculations (using Euclidean distance in RGB/HSV color space) and connectivity analysis, users can effectively process color images and achieve desired outcomes through iterative region selection and threshold adjustments.