A method of detection of chromatic rice kernels based on saturation is proposed,which can simultaneously detect various chromatic rice kernels only by a classifying threshold,because rice kernels are classified into two categories as normal (or white) kernels and chromatic kernels according to their 1D saturation features.Due to the optimized classifying threshold based on saturation features of the normal kernels and chromatic kernels,so that the detection accuracy of the chromatic kernels is higher.Because the saturation features of the individual kernels are extracted through region growing with scanning row by row,the chromatic kernels among groups of rice kernels can be individually detected.In our experiment,the proposed method was tested on over 700 rice kernels with normal kernels and various chromatic kernels,the detection accuracy of the chromatic kernels was 97.8%.