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In this paper the content based image retrieval system, using hybrid approach of features such as Texture and Color is presented. The color feature is extracted through Color Histogram and texture is extracted using Haar Wavelet Transformation. The combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster...
This paper proposes an image analysis method for separating abnormal regions caused by nutrient deficiencies on plants' leaves. The proposed method analyzes a histogram of normal leaves' colors to identify abnormalities on leaves. It can be divided into three main steps. Firstly, color features of leaf region in an input image are computed. Secondly, for each pixel, its color features are compared...
This work discusses about the implementation of a vehicle color recognition system to be used with the vehicle license plate recognition system. Because of the complexity of Thai alphabet, current license plate recognition system fails in correctly recognizing vehicles that have the same number but different Thai characters. Also the current system cannot identify illegal number plates that are being...
Key frame extraction is a technique used to compute measure of dissimilarity between successive frames in order to identify unique frames from a collection of video frames and thereby, eliminates redundant frames. It is widely used in image processing, video surveillance, cyber forensic, video browsing, and video indexing and retrieval applications. Though the state-of-the art computer vision algorithms...
Color histogram is an important technique for color image database indexing and retrieving. However, existing color based retrieval techniques are mainly designed for only extracting global or local feature, which cannot provide effective retrieval of images. In this paper, we propose a novel multi-view fusion method for image retrieval by combining the global color with salient regions color feature,...
Effect of frame size and color histogram bins on shot boundary detection performance in terms of precision and recall is experimentally analyzed in this paper. An HS histogram-based shot boundary detector is used for Korean soap operas with eight kinds of frame sizes an bins, respectively, applying various thresholds. The biggest image size and bins are more than one hundred higher than the smallest...
Underwater scene search turns out to be one of the most challenging topics in the underwater image analysis. In this paper, we present one underwater scene search scheme combined with similarity measure and sparse representation. The color histogram is first adopted to classify the candidate image patches for each kind of the underwater scene. At the same time, the feature similarity (FSIM) considers...
An adaptive threshold shot detection algorithm based on improved block color features is proposed in this paper. This paper adopts an improved block color feature extraction method based on equal area of rectangular ring. Sub-block accumulative color histogram is extracted as color features and different weight for different rectangle rings is set in order to highlight the central part of frame. Then,...
Tongue diagnosis is one of the important topics in the field of Chinese traditional medicine (TCM), and color is the basic element of tongue image, it has important diagnostic value. This paper presents a novel approach to extract color feature of tongue images. First, we use iterative method to extract initial main color and initial number of main color, then we adopt GLA(Generalized Loyd Algorithm)...
Content based video retrieval and content-based image retrieval are the hot research topics in recent years. Image feature extraction has played a very important role in the retrieval process. In this paper, we use the image color features and the image fingerprint extracted by the improved perceptual hash algorithm. In order to combine these two features, we have done a lot of tests to find the optimal...
It has very important practical significance to analyze and research minority costume from the perspective of computer vision for minority culture protection and inheritance. As first exploration in minority costume image retrieval, this paper proposed a novel image feature representation method to describe the rich information of minority costume image. Firstly, the color histogram and edge orientation...
One of the challenges faced in video retrieval is accurately detecting and extracting the objects in motion. The properties of the moving objects from the query clip are obtained, represented quantitatively, and compared to the corresponding features of the moving objects in the videos stored in the database. If a large number of features match, it generally indicates that the objects are similar...
The Content Based Image retrieval (CBIR) is a very important for retrieving the most visual relevant images from the large image database. The various low level features are extracted based on their visual content which are color, shape, texture etc. The paper gives the overview of color and texture feature extraction techniques like color histogram, color correlogram, color co-occurrence matrix and...
The interest of the sports analytics has significantly grown higher recently. Manual analysis of the sports videos like extracting required shots and motion tracking of the player is very time consuming. Automatic motion tracking of players is useful for broadcasters and sportsmen's at individual level of player so can improve quality of game and automatic shot detection and extraction useful to extract...
This paper proposes a multilayer decomposition aided method based on textural and color feature for detection and classification of skin cancer images. Firstly, images are decomposed into a piecewise base layer and detail layer by weighted least squares (WLS) framework based edge-preserving decomposition. From detail or enhanced layer of original image, normalized symmetrical Grey Level Co-occurrence...
Content Based Image Retrieval (CBIR) is the task of retrieving the images from the huge set of database on the basis of their own visual content. Content based image recovery is utilized for the programmed indexing and recovery of images depending on the contents of images called as the elements. This paper gives indicated way to utilize these primitive elements to recover the desired image. The procedure...
Due to the increasing variety and quantity of data in databases, retrieving the desired images among massive images storage becomes a challenge. Hence, many image retrieval methods are applied on one or some static datasets and the steps of features extraction and similarity comparison are performed on the dataset images as offline. To address the challenge, we propose an online content-based image...
Making visual features/trackers cooperate together allows to benefit from the complementary of different features and explores the merits of each individual tracker, which increases the robustness of video tracking. In this paper, two trackers are made in cooperation. The main tracker is based on particle filter and uses a visual model combining color and gradient orientations as the target representation,...
Image retrieval plays a major role in security systems to extract the images with similar features or patterns, to retrieve the relevant images in web search engines, in industries to detect crack in the manufactured parts, in architectural designs to find same texture patterns and so on. To accomplish efficiency in all the fields of image processing, the effective image retrieval mechanism is imminent...
Color histogram has been widely used in feature extraction to represent color feature of an object in the image. In this paper, we identify which features that give high contribution in classification performance, because not all features are directly correlated with object category. In the case of n-bins color histogram, features were referred to color intensity range of color histogram. On the one...
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