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The method proposed in this paper focuses on problems of motion detection and counting of very small moving objects in videos. Existing video processing methods need a defined form or a sufficient size of moving objects and do not provide accurate results in the case of very small moving objects. Many false detections can occur or many moving objects can be missed. To deal with these problems, reliability...
Colorization is a coloring process in the image or video, which is done to provide detail and clarity to the image or video. This study used image gray scale to be colored by matching both color image pixel blocks and grayscale images based on GLCM texture feature (gray level co-occurance matrix) using a sum of absolute difference. Color image blocks are used as templates and grayscale image blocks...
Image quality assessment has been a topic of intense research over the last decades. Although its application to other disciplines is growing tremendously, its use in retinal imaging is still immature and some fundamental challenges remain unsolved. Thus, we present a research methodology for the objective assessment of the quality in retinal images. The methodology can be used as a preliminary step...
This paper focuses on comparing orientation binning to perform Histograms of Oriented Gradients algorithm for the feature extraction process. The HOG algorithm comprises of gradient computation, orientation binning and block normalization aimed towards object detection. Three angles of binning are considered for (3bins, 6bins, and 9bins) with angles.64×128 image sample is taken from INRIA Person Data...
Correlation filter based trackers are well studied for object tracking and shown great interest to the research community in recent years. The vast majority of the works make utilization of either color feature channels or Histogram of Gradient feature channels for object tracking in visual spectrum. However, the strength of feature channels varies from RGB videos to thermal infrared videos. Subsequently,...
These last decades have seen the application of automatic inspection in many fields thanks to advanced vision sensors and image analysis methods. However, the difficult nature of pavement images, the small size of defects (cracks) lead to the fact that inspection in this area is done mostly manually. Each year in Tunisia, the operator must view images of thousands of kilometers of roads to detect...
The paper presents a very simple and efficient way of color style transfer of a video using a reference image. Style transfer changes the mood of look and feel of video. Here, in this paper instead of RGB color space, for style transfer oRGB is used which is much more robust compared to other color spaces. Then the color space is segmented using an unsupervised k-means algorithm. Later, each cluster...
With the further and faster urbanization, here come the advent and development of intelligent public transportation system. The identification of the traffic signs, as a key component of the intelligent transit system, has a prospect of widespread use in self-driving and driver assistance system. The paper focuses on the classification and identification of traffic signs based on the researches on...
This paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. The user is enabled to intuitively control the level of the contrast as well as the scale of the enhanced details. Moreover, our model avoids large modifications of the original...
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Bilateral filtering is a commonly used technique in image processing. However, being nonlinear, it is computationally expensive. The situation gets worse while the filter radius grows up. Several works have been proposed to accelerate the computation. Nevertheless, most techniques are tailored for grayscale image bilateral filtering or confined to specific kernel functions. In this paper, we propose...
Texture is considered one of most significant information sources in histo-pathology image analysis. To take advantage of information on color texture in digital histo-pathology, this work analyzes inherent characteristics of the hue component in the cylindrical color space, and introduces an effective color texture descriptor based on the LBP paradigm. Unlike existing LBP variants designed for linear...
The exponential growth of online videos imposes urgent demands on near-duplicate video detection. Near-duplicate keyframe detection is at the base of near-duplicate video detection. In this paper, based on the analysis of the state-of-the-art of near-duplicate keyframe detection, GrayScale Pyramid (GSP) is processed for improving the global feature of color histogram. By constructing the spatial pyramid...
Color transfer algorithms alter the color appearance in the source image by borrowing colors from the target image. In this paper, we present a simple yet effective generalized color transfer algorithm, taking into consideration the influences contributed from both the source and target images. We introduce the Gaussian membership function as our first color similarity measurement. This function aims...
Coin segmentation, or separating the coin area from its background, is inevitably the first step in any robust classification method. Yet, the fact that almost every research relies exclusively on grayscale images taken in controlled environments, with uniform illumination and backgrounds, wastes a vast asset of images commonly taken by numismatists, sellers and collectors. Admittedly, very often...
Image colorization is something fascinating in Image Processing. The issue raised in this research is Grayscale Image Colorization. Grayscale images that only show black and white are reproduced to be color images. The employed methodology was Neighbor Embedding Method, which has been applied before to manage Super-Resolution cases. This method is also implemented by Jun Li on image colorization cases...
Image segmentation is a key step in the image analysis and understanding. The images on which we are focusing are DNA sequence scalograms. DNA is formed of a linear chain composed of a sequence of ATCG. This chain is converted by using the PNUC coding technique followed by a wavelet analysis to scalograms. The scalograms enhanced regular patterns representing the periodicities existing in the C. Elegans...
While Cryptography is the science of secure communication, Steganography is the art of covert communication. Steganography has a long history, but modern steganography uses digital carriers such as electronic text, disk space, network packets, digital audio and images to hide secrets. Steganalysis, the countermeasure to steganography, is designed to detect and analyse the hidden data disseminated...
In this paper we study ways to generalise Otsu's binarization method towards reduction of colour levels in colour images. Colour defines a multi-dimensional property vector at each pixel location, and this can be further generalised towards considering arbitrarily finite-dimensional property vectors at pixel locations. Otsu's binarization method, originally already briefly discussed by Otsu for multi-thresholding,...
We propose a gesture recognition method employing spatiotemporal auto-correlation of grayscale gradient for image sequences capturing cooking activities. Recognizing gestures in housework activities is a key technology for realizing sophisticated household devices, energy saving as well as supporting elder or handicapped people. The proposed method employs Cubic Gradient Local Auto Correlation (Cubic...
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