perm filename PSY.2A[DOC,TOB]1 blob
sn#097967 filedate 1974-04-18 generic text, type T, neo UTF8
00100 Neurophysiological studies suggest that special cells in the visual
00105 cortex of mammals extract edges. A priori, intensity edges
00110 occur at discontinuities in surface slope or
00115 reflectance. Images are patchworks of areas of obscuring objects. Some
00120 edges correspond to boundaries between objects, some to interior edges
00125 of objects, others to surface markings. All signify features of potential
00130 interest, but there is no direct connection between intensity boundaries and
00135 spatial interpretations (which are our perceptual target). Thus, it is
00140 possible to find intensity edges on a local basis. It is not possible
00145 to find the "meaningful edges" (eg for a line drawing) on a local
00150 basis, since those are chosen for spatial semantics and require a global
00155 interpretation of the scene. Nor is it easy to find intensity edges;
00160 present techniques require extensive calculation and are not really
00165 adequate. We expect that performance approaching human visual acuity
00170 inherently requires great computation cost, and that substantial
00175 economies in computation are possible only with degraded performance.
00180 For most problems of interest, however, those
00190 reduced abilities are presumably adequate.
00100 Edges are discontinuities along a smooth curve, ie locally straight.
00200 Edges can be distinguished from spots only in a two dimensional context.
00300 Thus local edge operators must be two-dimensional (over a small area)
00400 and directional. Mammalian edge operators, Hubel-Wiesel cells, are directional;
00500 there are cells for many directions (angular resolution ??) and
00600 corresponding to retinal positions (spatial resolution and guess as
00700 to how many). Presumably they are more dense
00800 near the fovea. However it is not clear that these cells are
00900 distributed proportional to retinal cells. Teleologically, straight
01000 line approximations to edges are less useful over large visual angles.
01100 Physiological evidence shows many more retinal cells than ganglion
01200 cells connecting them to the brain. Only a portion of the fovea appears
01300 to be connected one-one to the visual cortex. It is known that shape
01400 discrimination is crude in the periphery of the field of view.
02000 What is done with the outputs of cells which are not directly connected
02100 to visual levels of the brain? Do ganglion cells multiplex spatial
02200 information in the time domain, or is there primitive feature extraction
02300 in the retina?
02400
02500 Hueckel [] created a local edge operator for computers, which computes
02600 directional moments and solves for a best edge. The signal is primarily
02700 determined by the gradient, and thus the operator has an unfortunate
02800 sensitivity to smooth shading.
02900
03000 Local edge detection as described here is a low-level operation in that
03100 no information from higher levels is used. The output of local edge
03200 operators does provide a context for other operations.
03300