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.
Pedestrian detection for surveillance video, which is the basic of person re-identification, aims to capture the pedestrians in the monitors. However, the existing pedestrian detection algorithms still have two issues: (1) The recall and precision are not applicable for complicated scenes; (2) It is limited for processing the high-resolution video in real-time. Therefore, pedestrian detection algorithm...
The computer-aided diagnostic (CAD) system can greatly influence the early detection of lung cancer in radiographs and computed tomography (CT) images. And the automatic nodule detection plays an important role in the CAD systems. This paper proposed a new enhancement filter (3D multi-scale Block LBP Filter) to detect the nodules in the lung regions. By taking advantages of the nodule regions' pixel...
Nodule detection is a vital step in computer-aided diagnosis (CAD) system, for its accuracy can greatly influence the reliability of the system. Many researchers have proposed lots of effective filters to detect nodules. However, these filters have limitations, such as changing the nodules shapes and sizes. This paper proposes a modified Difference of Gaussian (DoG) detector for pulmonary nodule location...
Image blur assessment has always played an important role in the image quality assessment (IQA). In fact, many methods have been used to measure the blur of an image, but we find that lots of the traditional methods can't effectively compare the blur among images with different contents, leading to the blur measuring more difficult. Recently, we find a perfect method based on the idea that it is difficult...
Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its irrationalities. The proposed method with bag-of-pixels is simple and effective. In the evaluation...
Considering the characteristics of infrared images contaminated by Gaussian noise, impulse noise and other mixed noises, an adaptive hybrid filtering algorithm based on infrared image's local statistical property is presented in this paper. It can automatically detect noises, determine the output based on threshhold value, select the size of filtering window, and judge the image edge on the basis...
A new algorithm of image edge detecting was proposed, which was based on otsu method and the set's approximation of rough set theory. Firstly, the global threshold of image segmenting was selected through otsu technique for this algorithm. Then there was a 3*3 pixels window, according to the attributes of the relations between threshold and window pixels' grey levels to build decision table. It could...
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...
In this paper, we propose a new unsupervised text detection approach which is based on Histogram of Oriented Gradient and Graph Spectrum. By investigating the properties of text edges, the proposed approach first extracts text edges from an image and localize candidate character blocks using Histogram of Oriented Gradients, then Graph Spectrum is utilized to capture global relationship among candidate...
In the digital multimedia era, it is becoming increasingly important to ensure the integrity and authenticity of the enormous amount of the video data. To detect the effect of frame-deletion, which is one of the common and simple forgery methods in video streams, a new approach based on motion-compensated edge artifact is proposed in this paper. It introduces the factor of motion-compensated edge...
This paper presents a new LVDS clock and data recovery (CDR) circuit for use in multi-channel applications. Combining a deskewing module together with a novel sampling clock generator achieves immunity to skew effects between channels as well as collective jitter due to process, power supply, and temperature variations. Besides, by dynamically tracking eye edges and introducing different strategies...
In this paper, we propose a new edge-based text verification approach for video. Based on the investigation of the relation between candidate blocks and their neighbor areas, the proposed approach first detects background edges in candidate blocks, then erases them by an edge tracking technique, and finally the candidate blocks containing too few remaining edges are eliminated as false alarms. Three...
An effective method for fuzzy image enhancement was presented by Russo, which was controlled by tuning of one parameter. The fixed parameter was used for the entire image resulting in over blurring or sharpening of image features in some parts of the image. On the basis of these, in this paper, we applied Russo's algorithm on different kinds of noise and proposed an efficient method to obtain the...
Content-Based Image Retrieval (CBIR) system is emerging as an important research area, users can search and retrieve images based on their properties such as shape, color and texture from the image database. Usually texture-based image retrieval just consider an original image of coarseness, contrast and roughness, actually there is much texture information in the edge image. This paper proposed a...
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.