Underwater Image Saliency Detection Bad
on Improved Histogram Equalization
Zhen Cui1,2,Junfeng Wu1,2,3,Hong Yu1,2(&),Yizhi Zhou1,2,
and Liang Liang1,2
1School of Information Engineering,
Dalian Ocean University,Dalian116023,China
yuhong@dlou.edu
2Guangdong Province Key Laboratory of Popular High Performance
Computers,Shenzhen University,Shenzhen518060,China
3School of Computer Science and Technology,
曲江对酒Tianjin University,Tianjin300072,China
amalgamateAbstract.In order to solve the problem of unsatisfactory detection effect of
underwater visual saliency map,an image saliency detection algorithm bad on
improved histogram equalization is propod.Underwater images are often not
clear enough becau the refraction of light underwater caus insufficient image
resolution.Therefore,in order to solve the existing problems of traditional
背包旅游histogram equalization algorithm,an improved histogram equalization method做诚实守信的人
is propod to enhance the quality of images,which makes the saliency regions
smoother and clearer.In this paper,the simulation experiments were conducted
正态曲线
on UIEBD datat and DLOU_underwater datat.The experimental results
show the effectiveness,robustness and accuracy of the propod algorithm.
栖息的近义词是什么Keywords:Underwater imageÁHistogram equalizationÁSaliency extraction
1Introduction
The saliency detection of images can skillfully reprent the effective objects or regions in complex scenes[1–3].Therefore,it is applied to many computer vision rearches such as image retrieval[4],image recognition[5],image gmentation[6–8],target detection and so on[8].There are many algorithms for saliency detection,such as HC algorithm propod by Cheng,This method is bad on the contrast of global color histogram,comparing the color contrast of each pixel with all the others in the image to get its saliency value(The greater difference,the higher saliency).Thus,the full res-olution saliency image can be obtained.However,it is not ideal for complex back-ground images[9].The AC algorithm propod by Achanta us low-level features of brightness and color to calculate the local contrast of a perception unit in different neighborhoods to achieve multi-scale saliency detection[10].This method does not have a prominent place in considering the overall contrast.PCA saliency detection algorithm is bad on principal component analysis(PCA)propod by Ran M, combining two descriptions of morphology and Lab color space effectively,and certain results have been achieved[11].
©Springer Nature Singapore Pte Ltd.2019
逐渐的近义词是什么
R.Mao et al.(Eds.):ICPCSEE2019,CCIS1059,pp.157–165,2019.汉口江滩
doi/10.1007/978-981-15-0121-0_12
