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In the paper we analyze the effects of different color spaces to color image dither impact and processing velocity and know that dither processing in RGB space is better judging by quality and velocity of image. A multidimensional element algorithmic method named looking-up table is proposed to make the color matching processing velocity heighten more than one amount degree. So that the required time...
Image segmentation is a key problem in computer vision, it also play a very important role in many object level image retrieval system. However, automatic object segmentation is a hard work, for it is difficult for computer to determine which is object and which is not automatically. In this paper, a novel segmentation algorithm for color image was proposed, this algorithm needs ones to identify an...
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real...
An approach of road crossing scene recognition based on scale invariant feature transform (SIFT) and color features is proposed in this paper. Firstly, the SIFT features are extracted and the color histogram in HSI space is calculated. Secondly, the K-D trees algorithm is used to match SIFT features of images in road crossing images database, and Bhattacharyya distance match result is calculated by...
This paper presents a method for expressing color features of images through color hue histograms, according to the distribution characteristics of image color space. In this method, the spatial features of colors are described in terms of three independent components of the HSV color space, with rotation, scaling and translation invariant features. Tests have proved that favorable retrieval effects...
The characteristics of scene text include the uneven lighting and the variability of character color which make scene text extraction more difficult than document image. In this paper, a novel scene text extraction method is proposed based on the independence between hue and lightness. We categorize text region into three types according to the composed color. Different color information is used to...
Electronic Holography, satisfying all 3D visual cues, is the most promising approach to ideal 3D image presentation. However, several problems have to be solved to realize high quality 3D images, such as handling huge amounts of data or insufficient display device capability. In order to solve these problems, this paper proposes an approach to high quality holographic image generation from 2D multi-view...
In this research, we evaluate pseudo-haptic, olfactory, gustatory stimulation with visual feedback to construct multi-modal display system. To evaluate pseudo-haptics, we introduce EMG and show relationship between visual feedback and subjective evaluation. To evaluate pseudo-olfaction, we construct two olfactory display systems with visual feedback and demonstrate olfactory illusion. To evaluate...
Based on the analysis of color histogram for image retrieval, a new descriptor, bit-plane distribution entropy (BPDE), is proposed in this paper. The image is firstly divided into eight bit-planes and the Gray-code of bit-planes is introduced to avoid the effect of changes in the intensity values on bit-planes. Then, an entropy vector is constructed by computing the entropy of the first four significant...
With the development of image retrieval system, the organizing and managing of image database effectively have been a key technology of users' retrieving. This paper firstly makes use of improved ant colony clustering algorithm in emotional clustering which based on image feature. This algorithm may identify who is the first ant by calculating the Euclidean distance, simulate ants' action of picking...
This paper develops new multiple sensor-based algorithms for identifying a chemical odor source in a near-shore and ocean environment via an autonomous underwater vehicle (AUV). Those algorithms implement two modules: source declaration and source verification, which are embedded in a subsumption architecture for chemical plume tracing (CPT). The source declaration module is based on chemical events...
Content based image retrieval (CBIR) systems in pixel domain use low-level features such as color, texture, and shape for image queries. Extracting these features and comparing it with the database images is time consuming. Also majority of the images stored in the systems are in JPEG compressed format. So, it would be highly desirable if we can extract the features directly in compressed domain,...
Content based image retrieval is highly used in computer vision in order to solve image retrieval problems. The proposed method is based on the information provided by the histogram analysis of intensity/grayscale values of images. Some additional properties are also calculated and used that are based upon regional characteristics of various objects in the image. The need to retrieve the additional...
Information extraction in remote sensing images has become an important area of research. Now daypsilas remote sensing images are used extensively for finding patterns of interest. The remote sensing data is processed automatically by computer and/or manually interpreted by humans, and are used in agriculture, geology, oceanography, meteorology, environment etc. In this paper, different Remote Sensing...
Through the influx of information content on the Internet, a number of image search methodologies have been presented and implemented to increase the accuracy of image retrieval including keywords, object classification and feature processing. Both keyword and object classification models rely heavily on human subjects, which is time-consuming and error-prone with inconsistency in word agreement....
Image segmentation method based on graph theory is mainly used for gray images, and thresholding of segmentation should be predefined. Combining with entropy in information theory, this paper suggests an unsupervised method for color image segmentation. The image is mapped into an weighted undirected graph, the pixels are considered as nodes, the best thresholding is obtained by objective function...
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is normal. The key of our approach is a featureless probabilistic representation of images, based on the length of the codeword necessary to represent each image. Such codeword's lengths are then used for anomaly detection based...
This paper proposes a novel method that uses 'inconsistency of ranks measure' to evaluate color calibration techniques. The objective of color calibration techniques that is concentrated in this paper is to circumvent illumination problems. Calibration techniques are used to help improving color matching within the same image. Moreover, 'sequence swapping distance (SSD)' is also proposed in this paper...
This paper proposes an approach for object tracking using particle filter based on an improved color correlogram. The improved color correlogram for representation object contains not only color information but also spatial information, which makes feature more distinctive. Instead of using the whole correlogram matrix as feature, we construct feature vector based on elements of the upper triangular...
To improve the performance of content-based medical image retrieval, herein an algorithm which makes use of latent semantic indexing (LSI) technology on gastroscopic image retrieval is proposed. First extract imagepsilas color histogram and color autocorrelogram of low-level features, and then use normalizing, term weighting and singular value decomposition to realize low-level features mapping into...
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