The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we proposed a new image encryption algorithm, that is based on Arnold cat map and logistic chaotic system to improve the security of the image transmission. An input image can be shuffled by iterative using Arnold cat map operations. But, after several iterations the shuffle image will return to the original image. It is obvious that we cannot using the Arnold cat map only to promise...
Object recognition systems need effective image descriptors to obtain good performance levels. Currently, the most widely used image descriptor is the SIFT descriptor that computes histograms of orientation gradients around points in an image. A possible problem of this approach is that the number of features becomes very large when a dense grid is used where the histograms are computed and combined...
Edge detection is important step in image processing. In spite of two decade of research the need for general purpose edge detector is still felt. Threshold decision is the key uncertainty in the edge detection algorithms. Soft computing approach represents a good mathematical framework to deal with uncertainty of information. In this work, we used fuzzy logic for automatic thresholding and generated...
As medical images are mostly fuzzy in nature, segmenting regions based intensity is the most challenging task. Segmentation of medical images using seeded region growing technique is increasingly becoming a popular method because of its ability to involve high-level knowledge of anatomical structures in seed selection process. In this paper, we have made improvements in region growing image segmentation...
A method to implement virtual mouse through machine vision are proposed. Firstly we present an efficient algorithm based on color to track the movement of fingertips in real time, then we present a set of messages (including elementary fingertip message and simulated mouse message) that are generated according to the result of fingertip tracking, These messages can be used to control the window based...
This paper presents an adaptive edge enhancement method based on histogram matching for ultrasound images. Because of the speckle noises of ultrasound images, traditional edge enhancement methods do not work well for ultrasound images. The proposed method is to seek the regions whose edges needs to be enhanced and ruling out the error edges caused either by speckle noises or the reverberation artifacts...
Intravascular ultrasound can provide clear real-time cross-sectional images, including lumen and plaque. In practice, to identify the plaques tissues in different pathological changes is very important. However, the grayscale differences of them are not so apparent. In this paper a new textural characteristic space vector was formed by the combination of Co-occurrence Matrix and fraction methods....
This paper presents the use of local oriented energy features for real-time object tracking on embedded vision systems. Local oriented energy features are extracted using complex Gabor filters. Filtering is carried out across multiple channels with different frequencies and orientations. The effectiveness of the chosen feature set is tested using a mean-shift tracker. Our experiments show that adding...
Gridding cDNA microarray images is a critical step in gene expression analysis, since any errors in this stage are propagated in future steps in the analysis. We propose a fully automatic approach to detect the locations of the spots. The approach first detects and corrects rotations in the sub-grids by an affine transformation, followed by a polynomial-time optimal multi-level thresholding algorithm...
This paper proposes a image enhancement and segmentation method for mammographic images, which is based on the pixel intensity transformation, spatial filtering, edge detection, and region growing techniques. This method consists of two approaches. The first approach is applying intensity transformation, logarithmic transformation, contrast stretching, histogram equalization and spatial filtering...
Background subtraction is widely used for extracting unusual motion of object of interest in video images. In this paper, we propose a fast and flexible approach of object detection based on an adaptive background subtraction technique that also effectively eliminates shadows based on color constancy principle in RGB color space. This approach can be used for both outdoor and indoor environments....
In this paper, we will propose a data hiding method to embed the color information into the grayscale image and then only authorized users can recover the original color image. At the same time, according to the viewer's reliability, image owners can distribute the different embedding color image information. In other words, they will assign the more closer to the original image color information...
Scene recognition poses great challenges due to large intra-class variations. We present a novel visual descriptor to build scene gist.It is an extended version of census transform histogram.The proposed gist model is more robust and has better generalizability.It is a holistic scene-centered representation that bypasses the segmentation and the processing of individual objects or regions.We experimentally...
In view of the increasing demand of recognition system for paper currency number, to develop a type of number recognition system based on CIS and DSP. The hardware is composed of CIS and DSP which control image acquisition and process. The software is composed of image acquisition, character correction and recognition. To recognize character with noise pollution rapidly and accurately, a novel approach...
We introduce a facial expression recognition method, which incorporates a weight to the Local Binary Pattern (LBP), and generates solid expression features. Furthermore, we use Adaboost to select a small set of prominent features, which is used by the Support Vector Machine (SVM) to classify facial expressions efficiently. Experimental results demonstrate that our method outperforms the state-of-the-art...
Change detection in images of a given scene acquired at different times is one of the most interesting topics of image processing. A new change detection method based on 2-D fuzzy entropies is proposed in this paper to detect change area of the difference image. First, the best segmentation direction of 2-D histogram formed by pixel gray levels and the local average gray levels is found by using Fisher...
Reversible data hiding has drawn considerable attention in recent years. In this paper, we used the tictactoemidlet predictions to achieve a histogram-based reversible data hiding. The histogram is created by exploiting all difference values between pixels and their predictive values. Experimental results show that our methods are capable of providing a great embedding capacity without making noticeable...
In this paper we implement a vision based moving Object Tracking system with Wireless Surveillance Camera which uses a color image segmentation and color histogram with background subtraction for tracking any objects in non-ideal environment. The implementation of the moving video objects can be based on any one of the tracking algorithms such as Template matching, Continuously Adaptive Mean Shift...
In object tracking identifying the best feature which discriminates object and background improves the performance. Most of the existing methods do not consider the suitability of such features for the tracker. Here we enhance the discriminative features which elevate the tracker performance. To accommodate object and background variations over time we dynamically update the best feature using a distance...
In this paper, we present a novel binarization method for infrared images. Such images are characterized by low contrast, fuzzy edges and more complex with their histogram distributions. If we only apply a global or local threshold, these images will lose a lot of edges and detail information, or ignore the contours of objects. To address this issue, the proposed method combines the advantages of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.