Detection of image orientation with mathematical morphology and orientation-adaptive image processing for antialiasing

✍ Scribed by Masahide Naemura; Atsushi Fukuda; Yasunobu Mizutani; Yoshinori Izumi; Koichi Yamaguchi; Yuichi Ninomiya

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 567 KB
• Volume: 29
• Category: Article
• ISSN: 0882-1666
• DOI: 10.1002/(sici)1520-684x(19980615)29:6<16::aid-scj2>3.0.co;2-o

✦ Synopsis

We propose a new method of detecting image orientations by using mathematical morphology, a type of nonlinear processing. In the new method, an opening filter with a one-dimensional structure along each orientation axis detects image orientations after detection of oriented edges in the images. Area widening is performed on the detected orientations, changing the widening parameters according to the length of the orientation. A combinational logic process, in which output values are determined in logical comparison with other orientation signals, makes the results stable and flawless. We obtained good orientation information when we applied this method to a MUSE decoder. Moreover, adaptive processing with the results of orientation detection has enabled a MUSE decoder to decode MUSE signals with fewer artifacts than a conventional decoder.