The article discusses a method for identifying objects in images based on their colors. The researchers developed a color segmentation technique using clustering algorithms to group similar colors together. This method helps in automatically updating geographical information systems and removing noise from images. By using k-means clustering and normalization techniques, the researchers were able to effectively segment objects in color images.