影像技术
影像技術
영상기술
IMAGE TECHNOLOGY
2015年
3期
54-55,49
,共3页
数字图像%图像清晰度%图像反差%粗糙集理论%模糊集理论
數字圖像%圖像清晰度%圖像反差%粗糙集理論%模糊集理論
수자도상%도상청석도%도상반차%조조집이론%모호집이론
Digital Image%Image Definition%Image Contrast%Rough Set Theory%Fuzzy Set Theory
传统的数字图像增强方法使用精确、固定和不变的算法来表达和解决问题，往往收不到理想的效果。本文将粗糙集理论和模糊集理论相结合，提出一个新的图像增强方法—模糊增强方法。通过实验证明，该方法对图像的增强效果明显，提高了图像中目标的清晰度和反差，大大提高判读精度。
傳統的數字圖像增彊方法使用精確、固定和不變的算法來錶達和解決問題，往往收不到理想的效果。本文將粗糙集理論和模糊集理論相結閤，提齣一箇新的圖像增彊方法—模糊增彊方法。通過實驗證明，該方法對圖像的增彊效果明顯，提高瞭圖像中目標的清晰度和反差，大大提高判讀精度。
전통적수자도상증강방법사용정학、고정화불변적산법래표체화해결문제，왕왕수불도이상적효과。본문장조조집이론화모호집이론상결합，제출일개신적도상증강방법—모호증강방법。통과실험증명，해방법대도상적증강효과명현，제고료도상중목표적청석도화반차，대대제고판독정도。
Adopting the exact and nonvariant algorithm to express and solve problems in the traditional digital image enhancement method can't reach the desired effect usually. A new digital image enhancement method was proposed. Experiments show that the fuzzy enhancement arithmetic combining rough set theory and fuzzy set theory can enhance the image effectively. The definition and contrast of the image were enhanced, and the interpretation accuracy was improved noticeably.
