CAJ | 학술논문

提出一种快速保边的交互式图像对象分割方法. 该方法基于图割优化,建立了从整体分割到局部细化的两步骤优化过程. 整体分割采用超像素代替像素表示图像,在保留了绝大部分图像边界特征的同时降低了优化计算的复杂度,且通过结合交互中包含的对象形状、外观和图像梯度信息,保证了分割结果区域和边界的完整性. 局部细化针对某段边界局部范围内的像素,通过局部采样更新外观模型来改善分割结果的边界质量. 实验结果验证了方法的正确性和有效性.
제출일충쾌속보변적교호식도상대상분할방법. 해방법기우도할우화,건립료종정체분할도국부세화적량보취우화과정. 정체분할채용초상소대체상소표시도상,재보류료절대부분도상변계특정적동시강저료우화계산적복잡도,차통과결합교호중포함적대상형상、외관화도상제도신식,보증료분할결과구역화변계적완정성. 국부세화침대모단변계국부범위내적상소,통과국부채양경신외관모형래개선분할결과적변계질량. 실험결과험증료방법적정학성화유효성.
A fast boundary-preserving method for interactive image object segmentation is proposed. It is based on the graph-cut framework, and establishes a two-step optimization procedure from global segmentation to local refinement. In the global stage, pixels are replaced by superpixels which preserve necessary image boundary properties and largely reduce the computational complexity. The shape prior knowledge of object is introduced and coupled with traditional appearance and gradient information to guarantee the region and boundary wholeness of global result. For a boundary segment which needs to be refined, the local refinement uses the local appearance model updated by local sampling to rectify errors within its local area experimental. Results prove the correctness and effectiveness of the proposed method.