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In this paper, we present a new technique to compare image similarity, called HISG (histogram graph), that utilizes a weighted undirected graph for each color, and its each vertex is a bin of histogram. As a result, the technique is able to take advantage of color location, and smaller space overhead but is not sensitive to rotation and translation. We carried out an experiment on an image database...
Given vehicle images, we suggest a way to recognize the color of the vehicle contained in the image. The color feature of a vehicle is represented by a color histogram, and we decide the appropriate number of color histogram bins, which mainly affects the successful recognition rate. After generating the histograms, template matching is used to decide the vehicle color. In HSI (hue saturation intensity)...
In this paper, we propose a new color image retrieval scheme based on color features. The goal of this scheme is to effectively retrieve images similar to a query image in a color image database. In this scheme, a color image is first divided into three planes. Then the local features of the given image can be found by calculating the color difference of each plane. Thereafter, the color difference...
In this paper we propose an expectation-maximization (EM) algorithm with distance measure for color image segmentation. The probability distribution model used is the Gaussian mixture model. The concept of color distance measure is used in this algorithm to determine the region to which a particular pixel belongs. L *a* b color space is used to replace the more straightforward spaces such as the RGB...
This paper presents a new approach for the classical Markov localization method for mobile robots by using image quality evaluation. Machine learning techniques have been used to obtain the quality of the images. This quality value is used to select the best information source, between odometry and sensor information. Real experiments in different scenarios of the Robocup standard platform league...
This paper introduces an integrated color and texture feature based content based image retrieval using 2D Discrete Wavelet Transform (2D-DWT).Most of the image retrieval systems are still incapable of providing retrieval result with high retrieval accuracy and less computational complexity. To address this problem, combining color and texture features the effective integrated framework developed...
Query-by-one-example (QBOE) is the traditional way of querying in content-based image retrieval (CBIR) system. However, as some recent research points out, QBOE method cannot get accurate result because only one image is not sufficient to express its semantics of the intended query. Therefore, query-by-multiple-example (QBME) method is proposed and adopted, in which query images are divided into groups...
This paper deals with a novel technique that utilizes a weighted undirected graph for each color, called GHSG, and applied in landscape images including three steps: Calculating the similarity between query image and all database images based on global color histogram method. Making a set of images includes all the images that are filtered from the image database. The similarity of query image with...
This paper focuses on finding the image features in both spatial and wavelet domain and applied that for greenery and non-greenery image classification. The spatial color feature called guided color coherence feature(GCCF) & guided distance feature in wavelet(GDFW) are calculated for the purpose of classification. The color coherence vector is constructed for all images and is used to find three...
At present, most color transfer algorithms are based on single source image, failing to meet reference color demand of object image. This paper proposes a multi-source color transfer algorithm based on multi-labeled decision tree. At first, we define an image as a multi-labeled set since it contains multiple objects. Then every source image is divided into several sub-images to form the training samples...
In this paper, we propose FCWQE, which is effective supporting continuous window query in wireless sensor networks. And it includes FCDC (Four-color with Delay Computation) approach to color the sensors, partition the logic aggregation groups and build the query-path. In order to save the energy and prolong the networks lifetime, this paper brings forward strategy to choose group leader nodes; at...
Classification of textures in scene images is very difficult due to the high variability of the data within and between images caused by effects such as non-homogeneity of the textures, changes in illumination, shadows, foreshortening and self-occlusion. For these reasons, finding proper features and representative training samples for a classifier is very problematic. Even defining the classes that...
Drowsiness detection is vital in preventing traffic accidents. Eye state analysis - detecting whether the eye is open or closed - is critical step for drowsiness detection. In this paper, we propose an easy algorithm for pupil center and iris boundary localization and a new algorithm for eye state analysis, which we incorporate into a four step system for drowsiness detection: face detection, eye...
In this paper, we present a new approach for color texture classification by use of Haralick features extracted from co-occurrence matrices computed from local binary pattern (LBP) images. These LBP images, which are different from the color LBP initially proposed by Maenpaa and Pietikainen, are extracted from color texture images, which are coded in 28 different color spaces. An iterative procedure...
This paper describes an approach to tracking multiple independently moving objects observed from moving cameras. The method addresses difficulties typically associated with tracking, including changes in background, parallax in the scene, arbitrary camera motion, object occlusions, cross-overs, and appearance changes. Using a bottom up approach, independently moving objects are detected in images...
The paper discusses initial steps towards efficient digital 3D modelling of a natural scene by fusing 3D range data from an active hand-held laser scanner and complementary passive stereo data from stereo pairs of images of the scene. The latter are formed by rectifying successive video frames captured by a calibrated built-in video camera of the scanner. Range data constrain the search for stereo...
This paper proposes new approaches for image representation to bridge the gap between visual features and semantics. Two new combined feature extraction approaches are used to extract significant features from images. Each approach is a hybrid of two feature extraction methods and tries to capture both colour and texture information. In order to improve the query processing time and avoid the linear...
This Paper investigates the use of digital image analysis techniques for developing an automated kiwifruit counting system. Three simple counting methods followed by a minimum distance classifier based segmentation technique in L*a*b colour space were studied. Images were taken prior to harvesting at a New Zealand kiwifruit orchard. Accurate counting of kiwifruit in several sample regions of the orchard...
In this work a new colour model HLS Distorted is presented which greatly improves the HLS colour model for use in robust colour image segmentation. When working with various colour models we often find that each has strengths and weaknesses for image analysis making most colour models useful only some of the time. The HLS colour model is one such model. While it is excellent at separating colour into...
This paper presents a contour-based approach to separate vertically attached traffic signs. The algorithm is based on using binary images which are generated by any color segmentation algorithm to represent objects which could be candidate traffic signs. Since all traffic signs are similar about their vertical axis, an improved cross-correlation algorithm is invoked to determine this similarity and...
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