Sains Malaysiana 48(12)(2019): 2777–2785

http://dx.doi.org/10.17576/jsm-2019-4812-19

 

Adaptive Smoothness Constraint Image Multilevel Fuzzy Enhancement Algorithm

(Algoritma Peningkatan Kabur Imej Berbilang Paras Kelancaran Kekangan Mudah Suai)

 

XI CHU¹, ZHIXIANG ZHOU¹*, CHAOSHAN YANG² & XIAOJU XIANG¹

 

¹School of Civil Engineering & Department of State Key Laboratory Breeding, Base of Mountain Bridge Tunnel Engineering, Chongqing Jiaotong University, Chongqing, 400074, China

 

²Department of Military Installations, Department of Army Logistics University of PLA, Chongqing, 401331, China

 

Diserahkan: 21 Februari 2019/Diterima: 23 Disember 2019

 

ABSTRACT

For the problems of poor enhancement effect and long time consuming of the traditional algorithm, an adaptive smoothness constraint image multilevel fuzzy enhancement algorithm based on secondary color-to-grayscale conversion is proposed. By using fuzzy set theory and generalized fuzzy set theory, a new linear generalized fuzzy operator transformation is carried out to obtain a new linear generalized fuzzy operator. By using linear generalized membership transformation and inverse transformation, secondary color-to-grayscale conversion of adaptive smoothness constraint image is performed. Combined with generalized fuzzy operator, the region contrast fuzzy enhancement of adaptive smoothness constraint image is realized, and image multilevel fuzzy enhancement is realized. Experimental results show that the fuzzy degree of the image is reduced by the improved algorithm, and the clarity of the adaptive smoothness constraint image is improved effectively. The time consuming is short, and it has some advantages.

Keywords: Adaptive; fuzzy enhancement; image; multilevel; smoothness constraint

 

ABSTRAK

Disebabkan masalah kesan peningkatan yang lemah dan masa yang panjang oleh algoritma tradisi, satu cadangan algoritma peningkatan kabur imej berbilang paras kelancaran kekangan mudah suai berdasarkan penukaran sekunder warna kepada skala kelabu dicadangkan. Dengan menggunakan teori set kabur dan teori set kabur teritlak, transformasi pengendali kabur yang baru telah dijalankan untuk mendapatkan operator kabur linear yang baru. Dengan menggunakan transformasi keahlian linear teritlak dan transformasi songsang, penukaran sekunder warna kepada skala kelabu bagi imej kekangan mudah suai dijalankan. Digabungkan dengan operator kabur teritlak, rantau kontras peningkatan kabur imej kekangan mudah suai direalisasikan dan peningkatan imej dalam multiparas direalisasikan. Hasil uji kaji menunjukkan bahawa imej tahap kabur dikurangkan oleh algoritma yang lebih baik dan kejelasan imej kelancaran kekangan mudah suai diperbaiki dengan berkesan. Masa yang diperlukan singkat dan ia mempunyai beberapa kelebihan.

Kata kunci: Imej; kekangan yang tidak rata; berbilang paras; peningkatan kabur; penyesuaian

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