Chatter or self-excited violent relative dynamic motion between the cutting tool and the workpiece is an undesirable phenomenon in machining due to its destructive effects on the product surface quality, machining accuracy, cutting tool life and machine tool life. Because of these reason, there is a need for in-process detection methods to predict and avoid chatter vibration during machining processes. In this work, Chatter detection in turning process is performed based on analysis of feed marks in surface texture of work piece using image processing techniques. In order to validate the proposed vision based method an accelerometer was attached to the shank of cutting tool for measuring vibrations.