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Key frame extraction is a crucial step in content-based video retrieval. To accurately describe character of frames, various features like color, texture, shape can be integrated and used for key frame extraction. In this paper, we proposed an improved two-phase approach of key frame extraction based on entropy and perceptual hash. It weakens the threshold's direct influence on final results, and...
Visual cryptography is process to hide information of digital images which has become an active area of research during the last decades. Because of intrinsic features of images (i.e. bulk data capacity, high redundancy etc) encryption of images is different from that of texts and it is generally difficult to handle by traditional methods. Present study proposes a novel symmetric image encryption...
Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that, analyzing underwater images effectively and identifying any object under the water has become a difficult task. In this paper, an underwater enhancement approach by...
Satellite color images carry a vast amount of information which needs an efficient image segmentation method to analyze. Because of its simplicity and low complexity, K-Means algorithm is frequently adopted for color image segmentation. But, usually the results of K-Means algorithm suffers from noises and hence over segmentation. This is due to the reasons that K-Means works on the basis of random...
Cloud detection plays an important role in total-sky images based solar forecasting and has received more attention in recent years. Accurate cloud detection for complicated total-sky images is especially changeling due to the low contrast and vague boundaries between cloud and sky regions. Unlike the existing cloud detection method without any preprocessing, one novel decorrelation-stretch (DS) based...
Plenoptic images are obtained from the projection of the light crossing a matrix of microlens arrays which replicates the scene from different direction into a camera device sensor. Plenoptic images have a different structure with respect to regular digital images, and novel algorithms for data compression are currently under research. This paper proposes an algorithm for the compression of plenoptic...
The unsharp masking filter is an efficient and effective algorithm frequently applied in image contrast enhancement applications. The principle is based on sharpening object edges by appending a scaled high-pass version of the image to the original. The quality of the processed image is largely dependent on the characteristics of the high-pass signal and the scaling factor. Thus, optimal choices of...
To achieve accurate and real-time visual multi-object tracking, overcome the difficulties brought by the object deformation, occlusion, and illumination variations, a novel particle filter for multi-object tracking algorithm based on color local entropy (CLE) is proposed. This paper starts from improving the description ability of the object feature model. First, the traditional histogram weighted...
This paper proposes a segmentation method based on information theory. The entropy of the image is regarded as the objective function to be optimized. It is maximized during the segmenting process. At first, the kernel self-organizing map is applied to cluster the input vectors of the image into groups according to their attributes, and it keeps entropy maximization meanwhile. Then the clustering...
Taking full advantage of the multispectral properties of multispectral image, we should get the exceptional accurate edge. Clifford algebra is suit for dealing the multidimensional data, and can give expression to the association of the data better than the general algebra. It is a very rewarding method that to via Clifford algebra to get the edge of the multispectral image. In the paper, we discuss...
It is difficult to track small targets in colored videos using traditional tracking algorithms because of the lack of the target image information. A tracking algorithm was proposed to track small targets in colored videos whose size was from 7×7 pixels to 25×25 pixels. The algorithm included five steps: (1) a bilinear interpolation algorithm was applied to enlarge the target and the surrounding region;...
This paper presents a new algorithm to threshold images of historical documents. The thresholding phase is one of the most important phase in document recognition. An error on it could turn impossible the recognition of the document content. The proposed algorithm is divided into three phases. The first is responsible to indentify the main objects of the image. The second phase divides the image into...
In this paper, entropy and between-class variance based thresholding methods for color images segmentation are studied. The maximization of the between-class variance (MVI)and the entropy (ME) have been used as a criterion functions to determine an optimal threshold to segment images into nearly homogenous regions. Segmentation results from the two methods are validated and the segmentation sensitivity...
The existence of fake tea from non-origin impacts on the credibility and sales of the origin Longjing tea seriously. In order to weaken this impact, we proposed a technology using ant colony clustering algorithm in discrimination the origin of Longjing tea. Then acquired and analyzed the characteristics of the origin tea comprehensively, the 16 parameters of the images and spectra from each sample...
The automatic detection of various differences in brain dynamics has been studied here using two approaches, nonlinear time series analysis, and the clustering method. Six data sets of whole-head 148 channel MEG activity were collected from a single subject performing a yogic breathing protocol in three two-day experiments repeated with a time lag of one month. The MEG signals have been analyzed by...
This paper, based on the characteristics of wavelet functions and edge detection, gives a multi-wavelet transformation mixed multilevel algorithm which is fit for multi-focus image fusion and Canny edge detection. The algorithm can improve the quality of multi-focus image fusion and enhance the fusion efficiency. It selects different wavelet functions to transform the wavelet dissection image levels...
Video-based surveillance and measuring have been employed more and more widely in traffic monitoring system because of the rich information content contained in video. The vehicles need to be segmented from the video images, the result of vehicles segmentation using background subtraction is not only vehicles but also shadows of vehicles, a method of shadow removing based on texture analysis is presented...
In order to solve the problem of content-based image retrieval, this paper defines a new concept of information entropy shift, and proposes a novel image retrieval algorithm based on it. The Information Entropy Shift is defined as the changes of Information Entropy in one direction; it not only describes the statistical feature of an image, but also reflects the spatial information distribution. On...
Bottom-up segmentation tends to rely on local features. Yet, many natural and man-made objects contain repeating elements. Such structural and more spread-out features are important cues for segmentation but are more difficult to exploit. The difficulty also comes from the fact that repetition need not be perfect, and will actually rather be partial, approximate, or both in most cases. This paper...
This paper presents an eye-gaze tracking system based on the image processing. All the computations are performed in software and the system just needs a PC camera attached to the user's computer. We first extract the facial regions form the images using the skin-color model and connected-component analysis. Then the eye regions are detected by employing the rules and area segmentation. After the...
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