An image processing method for processing images of an optic disc region in a photographed ocular fundus, comprising: extracting an optic disc detection region or a cup detection region; radially scanning the region (11, 20) from a predetermined point; and determining a contour line of a disc region, using a monocular image or one of the stereo images of a pair of parallax images of the ocular fundus, and being based on detected points (15a through 15h) at which luminance variation reaches a maximum; or determining a contour line of a cup region, using stereo images of a pair of parallax images of the ocular fundus, and being based on detected points (16a through 16h) at which depth variation reaches a maximum; characterized in that the image processing method comprises: dividing the region (11, 20) into a plurality of regions (S1 through S8) by a plurality of dividing lines (14a through 14h) that extend radially from the predetermined point within the region; radially scanning the divided regions (S1 through S8) from the predetermined point along scanlines (17, 18) having an angular resolution such that the angle interval for scanning may vary according to the region, in order to detect in each individual region points (15a, 16a) at which luminance variation or depth variation reaches a maximum and detect a point (15a, 16a) that has the highest value of the extracted maximum luminance or depth variation in each individual region. extracting an optic disc detection region or a cup detection region; radially scanning the region (11, 20) from a predetermined point; and determining a contour line of a disc region, using a monocular image or one of the stereo images of a pair of parallax images of the ocular fundus, and being based on detected points (15a through 15h) at which luminance variation reaches a maximum; or determining a contour line of a cup region, using stereo images of a pair of parallax images of the ocular fundus, and being based on detected points (16a through 16h) at which depth variation reaches a maximum; characterized in that the image processing method comprises: dividing the region (11, 20) into a plurality of regions (S1 through S8) by a plurality of dividing lines (14a through 14h) that extend radially from the predetermined point within the region; radially scanning the divided regions (S1 through S8) from the predetermined point along scanlines (17, 18) having an angular resolution such that the angle interval for scanning may vary according to the region, in order to detect in each individual region points (15a, 16a) at which luminance variation or depth variation reaches a maximum and detect a point (15a, 16a) that has the highest value of the extracted maximum luminance or depth variation in each individual region. dividing the region (11, 20) into a plurality of regions (S1 through S8) by a plurality of dividing lines (14a through 14h) that extend radially from the predetermined point within the region; radially scanning the divided regions (S1 through S8) from the predetermined point along scanlines (17, 18) having an angular resolution such that the angle interval for scanning may vary according to the region, in order to detect in each individual region points (15a, 16a) at which luminance variation or depth variation reaches a maximum and detect a point (15a, 16a) that has the highest value of the extracted maximum luminance or depth variation in each individual region.