计算机辅助设计与图形学学报
計算機輔助設計與圖形學學報
계산궤보조설계여도형학학보
JOURNAL OF COMPUTER-AIDED DESIGN & COMPUTER GRAPHICS
2015年
1期
147-156
,共10页
徐威%唐振民%徐丹%吴国星
徐威%唐振民%徐丹%吳國星
서위%당진민%서단%오국성
裂缝检测%多尺度低层特征%纹理不均匀性%纹理各向异性%格式塔理论
裂縫檢測%多呎度低層特徵%紋理不均勻性%紋理各嚮異性%格式塔理論
렬봉검측%다척도저층특정%문리불균균성%문리각향이성%격식탑이론
crack detection%multi-scale low-level features%texture inhomogeneity%texture anisotropy%Gestalt principles
路面裂缝常常混杂着随机的路面颗粒纹理和自然环境下的多种干扰,基于单一特征的检测方法无法较为准确地提取裂缝,为此提出一种多特征融合与格式塔理论相结合的路面裂缝检测算法。将多尺度局部区域中裂缝的灰度差异、出现概率以及边缘特性作为低层显著特征,根据裂缝纹理的不均匀性,结合裂缝不规则曲线结构的空间延续性,提出一种新的纹理各向异性度量方式(LFIA),以高效削弱噪声点与伪裂缝的干扰;然后引入格式塔理论中的相似性、接近性和完整性原则,采用迭代剪裁预分割LFIA图,基于区域内部以及区域间连接度的裂缝空间一致性增强策略,突出裂缝。在收集的各类裂缝图像数据库上的实验结果表明,该算法抗噪性能好、鲁棒性强;裂缝提取的准确性、完整性要优于已有的算法。
路麵裂縫常常混雜著隨機的路麵顆粒紋理和自然環境下的多種榦擾,基于單一特徵的檢測方法無法較為準確地提取裂縫,為此提齣一種多特徵融閤與格式塔理論相結閤的路麵裂縫檢測算法。將多呎度跼部區域中裂縫的灰度差異、齣現概率以及邊緣特性作為低層顯著特徵,根據裂縫紋理的不均勻性,結閤裂縫不規則麯線結構的空間延續性,提齣一種新的紋理各嚮異性度量方式(LFIA),以高效削弱譟聲點與偽裂縫的榦擾;然後引入格式塔理論中的相似性、接近性和完整性原則,採用迭代剪裁預分割LFIA圖,基于區域內部以及區域間連接度的裂縫空間一緻性增彊策略,突齣裂縫。在收集的各類裂縫圖像數據庫上的實驗結果錶明,該算法抗譟性能好、魯棒性彊;裂縫提取的準確性、完整性要優于已有的算法。
로면렬봉상상혼잡착수궤적로면과립문리화자연배경하적다충간우,기우단일특정적검측방법무법교위준학지제취렬봉,위차제출일충다특정융합여격식탑이론상결합적로면렬봉검측산법。장다척도국부구역중렬봉적회도차이、출현개솔이급변연특성작위저층현저특정,근거렬봉문리적불균균성,결합렬봉불규칙곡선결구적공간연속성,제출일충신적문리각향이성도량방식(LFIA),이고효삭약조성점여위렬봉적간우;연후인입격식탑이론중적상사성、접근성화완정성원칙,채용질대전재예분할LFIA도,기우구역내부이급구역간련접도적렬봉공간일치성증강책략,돌출렬봉。재수집적각류렬봉도상수거고상적실험결과표명,해산법항조성능호、로봉성강;렬봉제취적준학성、완정성요우우이유적산법。
Pavement cracks are often mixed with random particle textures on road surface and a variety of interference under natural environment, results in the crack detection method based on single feature cannot recognize real crack accurately. Therefore, this paper presents a novel pavement crack detection method through integrating multi-features fusion and Gestalt principles. It extracts the intensity differences, the probability of occurrence and edge property of cracks in multi-scale local regions as low-level salient fea-tures firstly. Then, according to the texture inhomogeneity and the spatial continuity of the irregular curvi-linear structures of cracks, a novel texture anisotropy measure method (LFIA) is presented, which can weaken the disturbance of noisy points and pseudo-crack fragments efficiently. Based on the similarity, proximity and integrity principles of Gestalt theory, this paper adopts iterative clipping method to pre-segment LFIA map and proposes a crack spatial consistency enhancement strategy based on in-tra-regional and inter-regional connectivity to extract cracks. The experimental results of various collected pavement crack image database show the outstanding anti-noise performance and robustness. The precision and recall of our method is significantly superior to several existing conventional algorithms.