Fusion-based color and depth image segmentation method for rocks on conveyor belt

•Color-depth fusion is suitable for size distribution detection of multi-size rocks.•Both depth and color images have advantages and drawbacks in particle segmentation.•Superpixels merging based on the pre-classification region has superior effect.•Tuning segmentation parameters from another sensor image features are helpful.