A new method for automatic vanishing point detection on the image plane is proposed, which is based on a combination of line clustering and cross point statistical testing. The knowledge of vanishing point is an important step for oncoming camera self-calibration and 3D reconstruction. Under perspective projection, lines paralleling each other in space will converge to a point called the vanishing point in the image plane. Straight lines are automatically extracted using Burns line finding algorithm, and line clustering is applied to detect groups of lines that intersect on the same vanishing point. The vanishing points are automatically detected and it doesn't need priori information on the geometry of the related lines in object space. The precision of the end point coordinates is set to sub-pixel. The method is applied to the real images and the experimental results illustrate that the algorithm has successful performance and robustness against noise.