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Computational model of visual attention is very useful in image processing. It can improve the efficiency and save computational resource. A hierarchical computational model of visual attention based on multi-layer analysis is proposed in this paper. This model simulates the human visual attention mechanism using multi-layer data competition. Firstly, different parts of the input image compete for...
Salient regions detection in the image is very useful for image processing. It can reduce the computational complexity of the process and save computation resource. Most of the methods compute the saliency based on feature integration theory. But different features have different contribution to the saliency in different images. A new feature integration method is proposed in this paper. This method...
Salient regions extraction plays an important role in image analysis and processing, and it is widely used in image compression, coding, content-based image retrieve and so on. The use of salient regions can improve the efficiency of image processing and reduce the computational complexity. An approach for salient regions extraction in natural image is proposed in this paper. By analyzing the phase...
Regions of interest extraction in an image is a useful and challenging problem in image processing and analysis. A new method to extract regions of interest based on phase spectrum and morphological approach is proposed in this paper. Different color feature maps (hue, saturation and intensity) in different scales are selected to analyze the saliency based on feature selection. The phase spectrum...
Regions of interest (ROI) usually means the meaningful and important regions in the images. The use of ROI can avoid the processing of irrevelent image points and accelerate the processing. Extraction of regions of interest from images is an important and unsolved topic in the image processing area, especially in biomedical image processing area. In this paper, a feasible and fast constrast-based...
A biologically motivated salient regions detection approach is proposed to identify the salient regions within complex natural images. Multi-scale image features such as intensity, color and orientation are extracted to get some feature maps. The log spectra of the feature maps are analyzed in frequency spectrum domain and the spectra residual are extracted. Then the corresponding feature saliency...
As a solution of copyright protection of image, an image watermarking based on wavelet transform and shift-orthogonal finite-length(SOFL) sequences is proposed. SOFL sequence has the characteristics of shift-orthogonality and mean 0, variance 1. The security of SOFL sequence is higher than pseudo random sequence because of the parameters used to generate the sequence. Watermark embedding is based...
Global path planning is one of the key technologies of AUV (autonomous underwater vehicle), and it represents the intelligence level of AUV in some ways. This paper proposes a hierarchical global path planning approach for autonomous underwater vehicle in ocean. This approach consists of successive decomposition of the robot's workspace and searching for a path at each level of decomposition. To get...
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