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Color detection is generally a primary stage in most of the image processing application, if the application is based on the color information, such as road sign detection, face detection, skin color detection, object detection and object tracking etc. As the performance of subsequent modules in an image processing application is adversely affected by the previous modules, the accuracy of color detection...
Image enhancement is one of the most important techniques in digital imaging processing fields. Traditional global histogram equalization usually causes excessive contrast enhancement while local histogram equalization may cause block effect. To overcome these problems, a new method for image contrast enhancement is developed. The novelty is that the weighted average of histogram equalization and...
For future applications like 3DTV and free view point TV, the video data format is likely to comprise of multiple views plus pre-estimated geometric information such as a depth map corresponding to each view. By using multi-view video plus depth (MVD), it is possible to efficiently render virtual views in decoder site. However, the error and packet loss during the transmission will result in the distortion...
Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that need to be properly documented. Responding to these important needs, we have designed and evaluated a content based image retrieval system catered for marine life images. This paper investigates the effectiveness of various low...
In this paper, we propose a new local tone mapping (TM) algorithm, which combines luminance compression function with an adaptive color saturation control parameter. The luminance of the radiance map is decomposed by a bilateral filter and compressed by the modified luminance compression function. To generate color channels of the tone mapped image, we use color ratios and color saturation control...
Contourlet, one of multiscale analysis tool with great property of multi-directionality, locality and sparse approximation, is an excellent 2-dimentional image description approach. Contourlet can be employed as a remote sensing image fusion approach to improve spatial resolution and application through precise capture of edge information from panchromatic image and injection of that into multispectral...
This paper proposes an new algrithem framework for video based vehicle âtailgate' behavior detection in urban road junction. Based on the road traffic regualtion about the illegal parking behavior definition, the author proposes traffic lights signal monitor, vehicle tracking and road conjestion detection algrithems in the real time video analyse. The measured parameters including vehicles' trojactory,...
Data acquisition and storage is an important step in the process in building GIS system. In the process of building a database, using the method of intelligent automatic vectorization is of great significance for reducing the workload of building a database and improving working efficiency. This paper presents a method of point pattern recognition based on interactive approach, that is to say, the...
This paper presents a method for moving objects tracking in complicated areas based on features fusion and mean shift algorithm. Primary mean shift algorithm is only based on colour feature, and has a suitable performance especially in partial occlusions. However, primary mean shift algorithm would fail to track in some conditions. This paper exhibits a method to solve mean shift algorithm problems...
We have proposed a panoramic video synthesis method that uses a layered probability mapping method to generate high-quality three-dimensional (3D) images. The method's algorithm required a certain amount of synthesis calculation for estimating the presence of objects within an overall scene.
Single image haze removal (or de-haze) using dark channel prior model is effective when there exists a dark channel within the image. So for the images which do not meet the dark channel prior, the haze removal result may appear light pollution, cross-color. In this paper, we propose an algorithm to judge whether a single image meets the dark channel prior, and for the image that fails to meet the...
It is difficult to distill vector data from thematic map automatically and accurately because of disturb information. Therefore, an algorithm named Neighborhood Filling is discussed here to separate disturb information from thematic map. On the basis of distinction between disturb information and the interference background information. Set some background information on the priority. Use principle...
In this paper, PCA based modeling of geometric structure of the face for automatic face detection is presented. The method improves the face detection rate and limits the search space. Skin Color Modeling (SCM) is one of the best face detection techniques for image and video. However, feature selection is very important for even better template matching performance in terms of detection rate and time...
Medical diagnosis is one of the most important procedure in which image processing are usefully applied. In this paper, a pneumonia symptoms detection method based on cellular neural networks (CNNs) is proposed. The CNN design is characterized by a virtual template expansion obtained through a multistep operation. It is based on linear space invariant 3 × 3 templates. The proposed design is capable...
In this paper, we propose a road sign detection and recognition algorithm for an embedded application, which requires computationally simple but accurate algorithms. The algorithm is developed by using the Hue Saturation Intensity (HSI) color space to segment the road signs color (red, yellow, blue and white) and the regions of interest (ROI) in order to locate and determine the shape of the road...
This contribution deals with the testing and selection of methods and algorithms for the automatic video image (or visual signal) segmentation. The aim of this work has been to select a reliable and fast method for visual signal segmentation, which can be used in the system for audio-visual automatic TV broadcast transcription.
We present a novel method for the creation of photographic mosaic images using fractals generated via evolutionary techniques. A photomosaic is a rendering of an image performed by placing a grid of smaller images that permit the original image to be visible when viewed from a distance. The problem of selecting the smaller images is a computationally intensive one. In this study we use an evolutionary...
This paper proposes a novel fast dehazing method based on dark channel prior. The dark channel prior is the phenomenon about normal outdoor images containing at least one low energy pixel around a block among three channels. It helps roughly estimating the air mediums thickness, which decreases the scene transmission. We propose a variation of optical model whose single atmospheric attenuation coefficient...
In this paper we construct a long-distance VGA signal extending system featuring the self-tuning capability. The physical carrier of the signal is the typical local area network (LAN) cables such as CAT-5e. By investigating the noise distributions over the carrier a video restoration algorithm is proposed. The algorithm calculates the associated statistics and identifies the optimal IC control parameters...
In this paper a secret message/image transmission technique has been proposed through (2, 2) visual cryptographic shares which are covered by meaningful images so that a potential eavesdropper won't know there's a message to be read. A binary image is taken as cover image and authenticating message/image has been fabricated into it through a hash function where two bits in each pixel within four bits...
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