北京工业大学学报
北京工業大學學報
북경공업대학학보
JOURNAL OF BEIJING POLYTECHNIC UNIVERSITY
2015年
2期
195-199
,共5页
图像融合%小波基%多核处理器%并行融合
圖像融閤%小波基%多覈處理器%併行融閤
도상융합%소파기%다핵처리기%병행융합
image fusion%wavelet%multi core processor%parallel fusion
面向地震图像解释中的具体问题,开展图像融合算法研究,增强目标识别的准确性,提高对地震图像的解译能力。设计了一种具备对称性、短支撑性、二阶消失矩和正交性的高性能多小波基,提出了其并行融合算法实现。算法考虑了对配准误差的适应性问题,提高了图像空间频率。从实验结果来看,图像的整体和细节特征比单小波融合方法有较大的提高。通过将地震图像融合技术与并行程序设计相结合,在多核处理器下采用虚拟节点技术搭建多机并行图像融合平台。实验结果表明:针对多核系统的并行融合方法省去了并行处理的数据寻址时间,相比并行化前,算法执行时间随着节点数增加而减少,并且各并行操作更为规范、简洁,符合算法操作规则性强的实现特点。
麵嚮地震圖像解釋中的具體問題,開展圖像融閤算法研究,增彊目標識彆的準確性,提高對地震圖像的解譯能力。設計瞭一種具備對稱性、短支撐性、二階消失矩和正交性的高性能多小波基,提齣瞭其併行融閤算法實現。算法攷慮瞭對配準誤差的適應性問題,提高瞭圖像空間頻率。從實驗結果來看,圖像的整體和細節特徵比單小波融閤方法有較大的提高。通過將地震圖像融閤技術與併行程序設計相結閤,在多覈處理器下採用虛擬節點技術搭建多機併行圖像融閤平檯。實驗結果錶明:針對多覈繫統的併行融閤方法省去瞭併行處理的數據尋阯時間,相比併行化前,算法執行時間隨著節點數增加而減少,併且各併行操作更為規範、簡潔,符閤算法操作規則性彊的實現特點。
면향지진도상해석중적구체문제,개전도상융합산법연구,증강목표식별적준학성,제고대지진도상적해역능력。설계료일충구비대칭성、단지탱성、이계소실구화정교성적고성능다소파기,제출료기병행융합산법실현。산법고필료대배준오차적괄응성문제,제고료도상공간빈솔。종실험결과래간,도상적정체화세절특정비단소파융합방법유교대적제고。통과장지진도상융합기술여병행정서설계상결합,재다핵처리기하채용허의절점기술탑건다궤병행도상융합평태。실험결과표명:침대다핵계통적병행융합방법성거료병행처리적수거심지시간,상비병행화전,산법집행시간수착절점수증가이감소,병차각병행조작경위규범、간길,부합산법조작규칙성강적실현특점。
A type of symmetry, short support, two vanishing moments and orthogonally high performance multi wavelets was designed, and the parallel fusion algorithm that was beneficial for both the smooth regions of seismic image signal and that of the edge, texture component was put foreworded. The experiments and the quantitative measurement of the fusion results show that the fusion performance is better than signal wavelet and suitable for seismic image fusion application. By combining the seismic image fusion technology with the parallel program design, using the virtual node technology, the multi machine parallel image fusion platform in the multi-core processor was built. Results show that parallel fusion method based on multi-core system saves the data addressing time. Compared with parallel, the execution time of this algorithm decreases with the increase of the number of nodes, and the parallel operation is more standardized, concise, and in accordance with the characteristics of the strong algorithm operating rules.