Global-Based Salient Region Detection for Microscopic Image
Xiang Jun Liu, Cuixia Bai, Yi Gang Wang · Applied Mechanics and Materials · 2012
The salient region detection has been a very important study in machine vision and image analysis. Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in many computer vision tasks including image segmentation, object recognition, adaptive compression and image retrieval. This paper presents a global-based contrast region detection method. The color information and the relevance of spatial location were taken into account. Experimental results show that the proposed method compared with the existed methods, our method yielded better detection effect, more precise and low complexity, at the same time, the method was more applicable for salient region detection of microscopic image.