extended to perform texture segmentation instead of using color values as the input to the segmentation texture features are used to perform texture segmentation using the same framework an example type of texture features is wavelet features r porter and n canagaraj ah u201c a robust automatic clustering scheme for image segmentation using wavelets u201d ieee transaction on image processing vol u02dc 5 pp u02dc 662 665 april 1996 furthermore to perform image segmentation based jointly on color and texture feature a combined input composed of color values and wavelet features can be used as the input to the methods referred to in fig4 the result of joint color and texture segmentation is segmented regions of homogeneous color or texture the main objective of skin detection is to identify potential exposed body parts such as arms hands legs and feet the main objective of face detection is in addition to the obvious identifying faces to provide an approximate estimate of the scale so that constraints of anthropological proportions and kinetic motions can be enforced in human figure construction another objective of skin detection is to reduce computational cost by eliminating from graphical model matching those regions that cannot possibly contain faces since such eliminated regions are not analyzed further this step must be adjusted for a very low false negative rate even at the expense of a high false positive rate similarly another objective of face detection is to reduce computational cost by eliminating from graphical model matching those regions that are not likely to be faces since such eliminated regions are not analyzed further this step must be adjusted for a very low false negative rate even at the expense of a high false positive.