Our image inspection approach was inspired by the results of investigation of the attraction points of saccadic eye movements published by I. Muchnik and N. Zavalishin in 1974. We modified the attractiveness function proposed in their book. This permitted our computer programs to fix the center of attention field at the gravity centers (GC) of local image objects differing from their neighborhood in average brightness. A straightforward extension of our approach is possible for dealing with local textures instead of local brightness. Centering the attention field at the GCs, we provided the possibility of immediate matching the images subjected to affine transformation which are formed on retina if the rather flat surfaces are observed from long distances. The matching engine can estimate the values and directions of elongation of the chosen but not yet recognized image objects, thus the attention field takes the form of ellipse encapsulating an object of interest and masking its neighborhood. This permits to select and isolate the images of separate homogeneous surfaces each of which is then matched separately. The position and elongation parameters of each image of local surface are also used for structural matching the image of scene as the whole.