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In order to make the fingerprint image pre-processing algorithm be more consistent with human visual cognitive processes, we accorded to visual perception model to calculate visual experience gray value, and calculate the parameters of the fingerprint image segmentation, achieved a new method. First, the fingerprint image is segmented using the method called OSTU with the physical gray value; Second,...
Based on saliency region representation of visual scene, a framework for quantifying the semantic similarity of two video scenes is proposed in this paper. Frame-segment key-frame strategy is used to concisely represent video content in temporal domain. Spatio-temporal conspicuity model for basic visual semantics, a neuromorphic model that simulates human visual system, is used to select dynamic and...
A new method for deblocking is proposed. It aims to reduce the blocking artifacts in the compressed image by analyzing their visibility. A perceptual map is obtained using some Human Visual System (HVS) characteristics. This perceptual map is used as input to a recursive filter to reduce the blocking effect. The obtained results have been compared with a very recent efficient method considered.
Visual attention region determination simulates the behavior of the human visual system and determines visual attention regions in an image. In this study, a visual attention region determination approach using low-level features, including luminance, color, and region information, is proposed. First, the contrast map is attained by computing the contrast between each pixel and its ldquothresholdingrdquo...
Detecting and segmenting out the regions of interest (ROIs) is one of the foundations in image processing and analysis. Because the final information sink of images is human, for segmenting out the ROIs effectively, we need to study human visual system (HVS) and imitate the behaviors when human viewing a scene. Researchers have found several factors which affect human attentions by studying eye movements...
Due to the semantic gap, describing high-level semantic concepts with low-level visual features is a very challenging task. The classification of textures in scene images is intricate because of the high variation of the data. Therefore, the application of appropriate features is of utter importance. This paper presents biologically inspired features for texture segmentation and an unsupervised method...
A new approach for evaluating image segmentation methods is proposed. It exploits some image quality assessment measures inspired from the human visual system (HVS) mechanisms. The main idea is to consider image segmentation as a coding process. This approach is used for evaluating some grey-level thresholding methods. It could be easily extended to the evaluation of region-based segmentation methods...
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