Color cast detection is widely used in machine vision and related fields. Traditional algorithms mostly depend on certain assumptions or prior knowledge. In this paper, a new cast detection approach based on color-feature analysis is proposed, which involves image colorfulness and color naturalness. Experiments show that this approach can eliminate the influence of dominant colors, improve the detection accuracy, match the subjective evaluation according to the human visual system, and is effective on more occasions.