10/04 Notes =========== Image ----- Image is a matrix Each cell of a matrix is a pixel RGB has 3 values in each cell (8 bits each value) Gray has 1 value in each cell (8 bits for value) GrayScale _________ 0 = black 255 = white Also known as pixel intensity Operations ---------- 2 types of transformations * photometric - manipulating pixel intensity * gemetric - covered later on Operations List #. Filtering * photometric * implemeted with convolution * depends on filters/masks - also a matrix - tend to be 3 x 3 - can have negative numbers in matrix * For GreyScale: * multiply value with value it's over and add them all together - replace center value with value * move 1 pixel to right and repeat process for all pixels - pretend modified value is still old value * Edge Filters #. Gradient Operation * A difference in pixels Edge Filters ------------ S_x == vertical gradient S_y == horizontal gradient S_x Matrix: -1 0 1 -1 0 1 -1 0 1 S_y Matrix: 1 1 1 0 0 0 -1 -1 -1