CAJ | 학술논문

根据生物注意机制,该文提出了一种基于视觉注意模型和进化规划的感兴趣区检测方法.采用进化规划方法分割图像候选区域;区域兴趣度由视觉注意模型产生的局部显著和进化规划计算的全局显著共同度量.在视觉注意模型中,图像经过小波多尺度变换和计算中央周边差得到局部显著度.注意焦点在显著度增强因子的作用下,选取候选区域得到感兴趣区.实验结果表明,所提方法检测的感兴趣区更接近人眼的视觉注意机制,并取得了较为满意的对象检测和兴趣度量结果.
근거생물주의궤제,해문제출료일충기우시각주의모형화진화규화적감흥취구검측방법.채용진화규화방법분할도상후선구역;구역흥취도유시각주의모형산생적국부현저화진화규화계산적전국현저공동도량.재시각주의모형중,도상경과소파다척도변환화계산중앙주변차득도국부현저도.주의초점재현저도증강인자적작용하,선취후선구역득도감흥취구.실험결과표명,소제방법검측적감흥취구경접근인안적시각주의궤제,병취득료교위만의적대상검측화흥취도량결과.
According to biological attention mechanism, a region of interest detection based on visual attention model and evolutionary programming is proposed in this paper. Candidate image regions are segmented with evolutionary programming algorithm. The interest of a region is measured with local saliency produced by visual attention model and global saliency based on evolutionary programming. After wavelet multiscale transform, local saliency in visual attention model is computed by center-surround differences. Under the action of saliency enhancement factors, focus of attention selects region of interest from candidate regions. The experimental results show the proposed approach is closer to human attention mechanism and performs well for object detection and interest measurement.