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Ms. Pac-Man is a challenging, classic arcade game that provides an interesting platform for Artificial Intelligence (AI) research. This paper reports the first Monte-Carlo approach to develop a ghost avoidance module of an intelligent agent that plays the game. Our experimental results show that the look-ahead ability of Monte-Carlo simulation often prevents Ms. Pac-Man being trapped by ghosts and...
Rasterization algorithms fall into two main categories, point-sampling and area-sampling. Point-sampling techniques allow for high quality reconstruction, but suffer from aliasing artifacts, time-costly to attenuate. On the other side, area-sampling, popularized by Edwin C. Catmull's Unweighted Area Sampling or UAS, is equivalent to point-sampling at an infinite rate, but reconstruction is restricted...
Image segmentation refers to a process by which a raw input image is partitioned into non-overlapping regions such that each region is homogenous and connected, and the union of no two spatially adjacent regions is homogeneous. The objective of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. This paper reviews the...
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...
In this paper, we propose a new method to enhance the performance of digital image watermarking based on pixels modification. The proposed method is implemented in both watermark embedding and retrieving processes. In the embedding process, an averaging technique is applied to the luminance components of the host image in order to obtain a better fine tuned watermark signal strength. In the retrieval...
This paper proposes an improving method for the pixel-wise based image watermarking by using image averaging technique and prediction of tuned watermarked pixels. To reduce the error in the original pixel prediction process caused by the high different values of neighbor pixels in the watermarked image, the technique of image averaging is applied to host image in the embedding process, and the watermarked...
Motion analysis can be applied in a number of fields including, e.g. video surveillance, human-computer interaction, smart homes, etc. Due to the large amounts of data associated with usual videos, it is essential for motion analysis algorithms to be computationally efficient. In view of the remarkable efficiency of biological vision systems in dealing with visual information, we propose a motion...
This paper is about the restoration of color image which is blurred and degraded by Gaussian and impulsive noise. The proposed method uses adaptive median filters with structural information are used to find the impulsive noise pixels. The total variation minimization algorithm is used to remove the Gaussian noise and blurring and restores the image. This proposed method will restore the image very...
In the colorization process, artists fill image's regions with colors following harmony rules. Some region colorizations are more significant than others. In this paper we introduce a model for computer assisted colorization of segmented images using Itten's proportion contrast. Our model is able to process images composed of totally blank or partially filled regions. Though, each region must be filled...
A novel edge detection technique for color images is presented in this paper. In the proposed method, contemporary fuzzy logic is used to implement a relative pixel similarity value algorithm. The smoothness of each pixel is calculated in four directions by use of weighted similarity rules and is normalized to maximum gray level. In other words, image in three dimensional color spaces is mapped into...
A texture based object tracking algorithm is presented. The algorithm is an extension to famous mean-shift tracking method. It does not rely on color histogram. It incorporates both color histogram and texture histogram information to model tracking target. In order to extract textural information a novel similarity operator is introduced. It is fast to compute and gray-scale invariant. It would be...
Huge amount of Traffic video segmented into manageable shots is the key step of database storage and video analysis in Intelligent Transportation Systems (ITS). Then key frames are extracted for representing main visual content of each shot. This paper proposes a novel approach for the segmentation of traffic video by the judgment of motion trend and supported by the vehicle status changes. Considering...
Depth maps estimated using stereo matching between frames from different video views typically exhibit false contours and noisy artifacts around object boundaries. In this paper, iterative joint multilateral filtering is proposed to deal with these artifacts. The proposed filter consists of multiple filter kernels. Knowing that the estimated depth maps are erroneous, besides the kernels which measure...
Initiatives such as the Google Print Library Project and the Million Book Project have already archived more than ten million books in digital format, and within the next decade the majority of world's books will be online. Although most of the data will naturally be text, there will also be tens of millions of pages of images, many in color. While there is an active research community pursuing data...
Natural image matting is a task to estimate fractional opacity of foreground layer from an image. Many matting methods have been proposed, and most of them are trimap-based. Among these methods, closed-form matting offers both trimap-based and scribble-based matting. However, the closed-form method causes significant errors at background-hole regions due to over-smoothing. In this paper, we identify...
This paper presents a method that combines colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support vector machine. For the colour-based model, we extract a...
A novel neuro-fuzzy-genetic approach is presented in this article to segment a true color image into different color levels. A MUSIG activation function induces multiscaling capabilities in a parallel self organizing neural network (PSONN) architecture. The function however resorts to equal and fixed class responses, assuming the homogeneity of image information content. In the proposed approach,...
Colorization is a method that adds color components to a grayscale image using only a few representative pixels provided by the user. A novel approach to image compression called colorization-based coding has recently been proposed. It automatically extracts representative pixels from an original color image at an encoder and restores a full color image by using colorization at a decoder. However,...
Content-Based Image Retrieval technique uses three primitive features like color, texture and shape which play a vital role in image retrieval. This paper presents a novel framework using color and shape features by extracting the different components of an image using the Lab and HSV color spaces to retrieve the edge features. Invariant moments are then used to recognize the image. In this proposed...
Modern night-vision systems like image intensifiers and thermal cameras enable operations at night and in adverse weather conditions. Modern night vision camera provides false-colored fused image as an output which is unnatural in appearance and it is therefore hard to interpret. In this paper, a region-based natural color mapping method for night vision imagery is presented. The proposed method colorizes...
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