Abstract: There is close relationship between segmentation effect of noise disturbed image and noise intensity the image contained. In order to quantize computing and analysis of segmentation effect of noise disturbed image, a evaluating function for noised image's segmentation results was presented based on segmentation image which is not noised firstly. Then a noise disturbed image segmentation effect evaluating method was presented that is based on run length testing of sequence randomness verifying. Run length function is defined based on run length statistic of segmented image's binary gray matrix and this index is quantifying computed when evaluating noised disturbed image's segmentation effect Simulation results of gray image,which is disturbed by noise,indicate that run length function is expressed simple, computing convenience, and can nicely reflect the changing relationship between segmentation effect of noise disturbed image and noise intensity the image contained.

Key words: Image segmentation, Noise, Evaluating, Run length testing, Statistic