Detection of salient region detection is useful for several image processing applications such as security system for Airport, Medical imaging, Object reorganization, Criminal Investigation, Retrieval of image, filter design and Retargeting an Image. A novel approach to determine salient region of images is proposed in this paper. GMM if used for clustering the colour values in the L*a*b colour...

The automatic computerized detection of regions of interest (ROI) is an important step in the process of medical image processing and analysis. The reasons are many, and include an increasing amount of available medical imaging data, existence of inter-observer and inter-scanner variability, and to improve the accuracy in automatic detection in order to assist doctors in diagnosing faster and o...

Purpose – The purpose of this paper is to propose a biological edge detection approach for aircraft such as unmanned combat air vehicle (UCAV), with the objective of making the UCAV recognize targets, especially in complex noisy environment. Design/methodology/approach – The hybrid model of saliency-based visual attention and artificial bee colony (ABC) algorithm is established for edge detecti...

Image salient object detection is useful for applications like image retrieval, object recognition etc. Aiming to obtain the pixel-level saliency map, most traditional saliency models ignore the object-level information and become inappropriate in complex scenes. A new salient object detection method is proposed in this paper by incorporating the notion of object and background prior directly i...

Salient object detection in videos is challenging because of the competing motion in the background, resulting from camera tracking an object of interest, or motion of objects in the foreground. The authors present a fast method to detect salient video objects using particle filters, which are guided by spatio-temporal saliency maps and colour feature with the ability to quickly recover from fa...

Depth information has been shown to affect identification of visually salient regions in images. In this paper, we investigate the role of depth in saliency detection in the presence of (i) competing saliencies due to appearance, (ii) depth-induced blur and (iii) centre-bias. Having established through experiments that depth continues to be a significant contributor to saliency in the presence ...

Human eye is perceptually more sensitive to certain colors and intensities and objects with such features are considered more salient. Detection of Salient image regions is useful in applications such as object based image retrieval, adaptive content delivery, adaptive region-of interest based image compression, and smart image resizing .This problem can be handled by mapping the pixels into va...

Human eye is perceptually more sensitive to certain colors and intensities and objects with such features are considered more salient. Detection of Salient image regions is useful in applications such as object based image retrieval, adaptive content delivery, adaptive region-of interest based image compression, and smart image resizing .This problem can be handled by mapping the pixels into va...

Feature coding is an fundamental step in bag-of-words based model for image classification and have drawn increasing attention in recent works. However, there still exits ambiguity problem, and it is also sensitiveness to unusual features. To improve the stability and robustness, we introduce saliency detection and fuzzy reasoning rules to propose an novel coding scheme. In detail, saliency map...

Saliency detection is believed to be an important precursor for a vast number of multimedia processing applications. Besides 2D saliency detection methods, depth feature is also considered to detect saliency in stereoscopic images as well as for videos. This paper presents an enhanced saliency detection framework, depending on the feature contrast of luminance, color, texture and depth, which i...