How to extract images from similar colored pictures

Quick answer：

Extracting images from similar colored backgrounds can be done using various image processing techniques. One common method is to use color segmentation, which involves isolating the region of interest based on color range. This can be achieved using thresholding or clustering algorithms. Another approach is to use edge detection methods to identify the boundaries between the object and the background. Machine learning techniques, such as convolutional neural networks (CNNs), can also be employed for more accurate and robust results. These methods require pre-processing, feature extraction, and sometimes post-processing to refine the extracted image.