基于视觉显著性和图割的图像分割算法优化方案  

Optimization Solution for Image Segmentation Algorithm Based on Visual Significance and Map

作　　者：赵树梅 Zhao Shumei(Yantai Institute of Technology,Yantai,China)

机构地区：[1]烟台理工学院,山东烟台

出　　处：《科学技术创新》2024年第2期131-134,共4页Scientific and Technological Innovation

摘　　要：图像分割是计算机视觉领域中的一个重要问题,其在图像处理、目标检测和图像理解等任务中起着关键作用。本文提出了一种基于视觉显著性与图割的图像分割算法。该算法首先使用视觉显著性模型对图像进行显著性区域检测,然后基于检测结果利用图割方法对图像进行分割。实验结果表明,该算法在分割准确性和效率方面都取得了较好的表现,可以有效地应用于实际图像处理任务中。Image segmentation is an important issue in the field of computer vision.It plays a key role in tasks such as image processing,target detection and image understanding.This article proposes a image segmentation algorithm based on visual significance and maps.This algorithm first uses a visual interpretation model to detect the image of the image,and then uses the diagram method to divide the image based on the test results.The experimental results show that the algorithm has achieved good performance in terms of segmentation accuracy and efficiency,which can be effectively applied to the actual image processing task.

关 键 词：图像分割 视觉显著性 图割 显著性区域检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]