Abstract: A method for adjusting image acquisition parameters to optimize object extraction is disclosed, which is applied to an object characterized by forming a specific cluster in a color coordinate space after performing a coordinate projection, and thus the specific cluster contributes to a specific color model, such as a human skin color model. This method first locates a target object within a search window in a selected image. Then applies the specific color model to obtain the image acquisition parameter(s) according to the color distribution and features of the target object. Therefore, the image is transformed according to the adjusted image acquisition parameter(s). Consequently, a complete and clear target object can be extracted from the transformed image by applying the specific color model, and the follow-up images having the same image acquisition conditions with the aforesaid image can also be transformed according to the same image acquisition parameter(s).

Abstract: A method for adjusting image acquisition parameters to optimize object extraction is disclosed, which is applied to an object characterized by forming a specific cluster in a color coordinate space after performing a coordinate projection, and thus the specific cluster contributes to a specific color model, such as a human skin color model. This method first locates a target object within a search window in a selected image. Then applies the specific color model to obtain the image acquisition parameter(s) according to the color distribution and features of the target object. Therefore, the image is transformed according to the adjusted image acquisition parameter(s). Consequently, a complete and clear target object can be extracted from the transformed image by applying the specific color model, and the follow-up images having the same image acquisition conditions with the aforesaid image can also be transformed according to the same image acquisition parameter(s).