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Colour and its spatial distribution are the main information currently used to detect salient objects in an image, but this cannot always guarantee satisfying performance. To deal with this problem, a salient object detection algorithm has been presented based on meanshift filtering and fusion of colour information. Superpixel segmentation is used to analyse the images by sets of pixels instead of...
This study presents an efficient saliency model mainly aiming at content-based applications such as salient object segmentation. The input colour image is first pre-segmented into a set of regions using the mean shift algorithm. A set of Gaussian models are estimated on the basis of segmented regions, and then for each pixel, a set of normalised colour likelihood measures to different Gaussian models...
This paper proposes a nonparametric saliency model based on kernel density estimation (KDE) mainly aiming at content-based applications such as salient object segmentation. A set of KDE models are constructed on the basis of regions segmented using the mean shift algorithm. For each pixel, a set of color likelihood measures to all KDE models are calculated, and then the color saliency and spatial...
Different environment illumination has a great impact on face detection and recognition. The automatic detection and radiation correction of a highlighted face area is helpful to analyze and identify human faces correctly in a color image. In this paper, the part of high-light and shadow of face skin color image was researched for reducing the impact of high-light and shadow for image processing....
This article expounds that color distribution entropy is used to describe the distribution characteristics of the spatial distribution of color in pictures, and makes a further improved algorithm according to human visual and entropy characteristics. We can show that the method of image retrieval is effective and has higher retrieval performance by analyzing the experimental results.
A new image retrieval method based on color saliency histogram is proposed. Two features of a given image, the radius entropy and angle entropy, are defined and used to describe the spatial distribution of color, then, combining the entropies with the color coherence value, the saliency of each kind of color is calculated. After that, the color saliency histogram is built for image retrieval. Experimental...
For the mainstream hard cut scene detection algorithm based on the color-histogram difference new criteria are added to increase precision and improve computational efficiency. This approach utilizes additional detection criterion based on spatial distribution of luminance blocks difference during scene cut. Also, in order to improve computational efficiency, time sampling at larger time resolutions...
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to the object dynamics. The typical approach is to use a registration algorithm to compensate the camera motion. However, in situations involving several moving objects, and backgrounds highly affected by the aperture problem,...
In the robot vision, the color is the essential information in the object recognition and cognition process. Here proposed one kind object identification algorithm based on the color characteristic with the YUV color space, uses the study - expansion algorithm to obtain the spatial distribution of the compatible object color characteristic, overcomes the influence that the environment illumination...
Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes.Detection of colored scene text is a new challenge for all camera based images.Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as color, font, size...
In this paper, we present a new approach for automatic color image segmentation. It is a multilevel clustering method based on a new proposed non-parametric clustering algorithm, called adaptive medoidshift (AMS) and normalized cuts (N-cut). The AMS algorithm is a modification of recently presented medoidshift algorithm by transforming its global fixed bandwidth to local automatically chosen bandwidth...
In content-based image retrieval, the representation of local properties in an image is one of the most active research issues. This paper proposes a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designed. It...
It has been shown that integrating multiple cues will increase the reliability and robustness of a vision system in situations that no single cue is reliable. In this paper, we propose a method by fusing multiple cues (i.e., the color cue and the edge cue). In contrast to previous work, we propose a novel shape similarity measure which includes the spatial distribution of the number of and the gradient...
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