ŶŮŢŨŢŻŪůŦġŪŴŴŶŦġljĸ ĵĶ Canny ۶Sobel 的ў ޱ Йକᕭเۖ ڄ ᡙ的൚ ா。ऎϞ ۘغ ᛔୈ，Canny ፡ᕭเᐡԐᅆᄦᄊ་֖ Ӏ，֭ Ӏ的ჅКྻ ᐱ७፡ᙇ的Ӵҵ。ԯ թ，Canny ў ޱ ൚ாऎᐠᗏ ڭ ׁێ ୵。 փѷ，൚ாሃ۹ா的ᛞ֒ ᢏмहᅆႵЈ。 փŔŰţŦŭў رޱ Йۖ ൚ா的 ڄ ᡙᄦᄊ。ġDPC、 MDPC、QDPA۶QDPCൌ࣏ ݺ ह֜ 的ў ，ޱ ҹ েҒࣁᄦᄊપወ的៳ ا。ݑ েഺ ڱ ў ޱ Ҟѽᕭ เ ڄ ᡙ的൚ா。փQDPAў ޱ ЙҞѽᕭเ ᑋৎӀா，ᘘҞѽ ر ҍ ڄ ᡙ的൚ா؛౻ ፁ。 ا েु ٿ ᄥ༤෩ҍ的 ݺ ह֜ 的ᆊᇖ ޱ Ҟ ѽԴನຕᅹࠫ ਿўবۤఀ ᔹಳ的 ࠑ ，Ҟକྻ ᢖ ӯ ـ Ժ的เႏᄦᄊ的પወြȞຕᅹࠫ ਿȟ。 ا ে ᘘह֜ Դ፡ᕭเК֫ գদঋԳ֜ ， ݺ ह֜ 的ў ޱ Դᕭเપወြўব ۍ գᔹ的Գў。 ا ে෩ҍ的ह֜ ᕭเᐡ࣏Ӥႋ ၳࠫޘ ನᎢయᐱҍ 。ڽ ႋ ၳࠫޘ Դࠫၳ ನКদঋ֯ ӡ。ҹҪգӒ 的ඏᝉ。ഺ ఀڹ ႋ ၳࠫޘ 的પ ܠ ៳ ݽـݑ ನႋ， ་࠳ڭ ϞᎠሦ۶ႋᎠ ث ങ的উӠ。ႋ ၳࠫޘ Ҟѽయ ᐱҍࠫၳ 的Ғປ、ह֜ ሃᔛತ，ҹেԴϘ ڱ ᕕӡК ӡ ݺ เ༓۶ᕭเ的ࠫၳ 的؊ൊપወ。ह֜ Ғ ၳࠫף 的પወႤୈ，ഺ៳ ݑ ᑬᔽ ا েह֜ 的ў ޱ ᕕӡ ݺ ᄦᄊನК。 ೝᐤᑦ的ॖ ӝ۫ ϭব ا ে௲ታЂਛణϘϭ፡ᕭเԴᑫࠝ ྻߤ ϯ的Ϙ ڱ ᕕӡ。 ⻋牌检测ȈԴ ྻߤ 的ਣ ڝ ി，ϠЍขዊϵ ࣏Ы൵ѫጤ的ᘌཕНϘ。࢝Ժขዊмನ݇ ൌྻ ϘϘҝᅁ，Ҫ࣏༡۶ຉᄑ的யᛟ。Ыч甚麼൵ Ժ， ێ КϘৎທᅆ࣏ ݙ。ژ ѽӏ ڽ 的ขዊӹ഼Ϙ ܠ ࣏๑Ҟ ܠ 的 ث ങ， ݺ ࣏Ѽ，Ычᗾႋ的࣏Ϙৎᚎ ඏ的 ژ ๕ᕭเ。гಿ 、гҦ۶֝ Ո的ஃ ژ ඞ，՜ ૭ຈൌઘф ژ ๕的ᕭเ，ഺዹўϞᑋৎࣹ 的 Ⴛ֖ ， ݙ ѽഺᇌ ث ങ的་َ ۶ਣ，Ϙ ܠ ࣏Ϙৎࠧ ௱Հ的ᘌཕ۶ᕕӡ。Ԑᅆళ༰的ᄦᄊ་֖ շ࢘м ֖་ڭ ϞQDPAႻᇖЮ፡ᕭเ。ѽϭਣӯϞੜ ލ ᅆѧᄦȈȞѽᄦĴ ژ Ꮓऎ ڼ Єȟ Իऄ用 ښ ᇫ͘ 的ೝ $e phase algorithm proposed by our research team not only performs very well in processing feature details, but also can reveal more feature details of the image. We also discovered that phase has an important status in edge detection, and phase-based methods excel in detecting feature details. $e phase detectors we developed are based on analytic signal theory. Analytic signals play an important part in signal processing. An analytic signal only has a positive unilateral spectrum. $is makes it easier to understand certain properties of analytic signals, and has led to the development of modulating and demodulating techniques. Analytic signals can be used to obtain signal envelope, phase, and frequency. $ey can be used to detect local features of signals. A phase contains feature details of a signal, and this property inspired us to use phase-based methods in image processing. ൌ )LJXUH ൌ㠽䙨行Ҽ 4'3$⃘ ③的㎆᷒ The original images and the images produced with QDPA Ᏸடួ ŇłńŖōŕŚġńŐōŖŎŏ
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