The paper presents the results of the investigation of the I. Boaventura und A. Gonzaga integrated performance evaluation method of edge detection [1-2], obtained using the bundled software of stochastic simulation «CS sF» . The methods and approaches of stochastic simulation were used in the experiments and the reference images were approximated with the two-dimensional renewal stream [4-7]. The performance of the outline drawing detection was evaluated by Boaventura und Gonzaga method for three algorithms of the edge detection («Canny», «Marr-Hildreth» and «ISEF») under different levels of peak signal-to-noise ratio. The results of the investigation are presented as dependences of the estimate probability of the correct edge detection, the type 1 and 2 errors, on S/N ratio. The performance analysis of the above three algorithms for the images, produced on the basis of morphology type «A» and «F», is done based on the performed evaluation.