A Saliency Map based on Color Boosting and Maximum Symmetric Surround

• 발행기관: 한국스마트미디어학회
• 저자명: Huynh Trung Manh Gueesang Lee
• 간행물 정보: 『스마트미디어저널』Vol2, No.2, 8~13쪽, 전체 6쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.06.30

영문 초록

Nowadays, the saliency region detection has become a popular research topic because of its uses for many applications like object recognition and object segmentation. Some of recent methods apply color distinctiveness based on an analysis of statistics of color image derivatives in order to boosting color saliency can produce the good saliency maps. However, if the salient regions comprise more than half the pixels of the image or the background is complex, it may cause bad results. In this paper, we introduce the method to handle these problems by using maximum symmetric surround. The results show that our method outperforms the previous algorithms. We also show the segmentation results by using Otsu’s method.

목차

Abstract

I. INTRODUCTION

II. METHODS

III. EXPERIMENTAL RESULTS

IV. CONCLUSIONS

REFERENCES

키워드

Visual Saliency Segmentation Object Detection Colour Textures