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The feature matching and tracking of binocular vision inter-frame images have been divided into three parts in this paper. Before image feature extraction, an image binarization segmentation method based on HSV color space is used to extract the target in order to reduce the searching range of feature points and improve the matching efficiency. About feature matching, a modified ORB method combining...
A deoxyribonucleic acid (DNA) microarray is a powerful tool that is widely used in genetics to monitor the expression levels of thousands of genes in parallel. Gridding, segmentation and intensity extraction is the process of gene expression. In the process of gene expression, gridding process information leading to dig their own DNA and provide coordinates for each point. Gridding can be implemented...
Extensive research has been conducted in an effort to evaluate methods and techniques for image segmentation. However, while most literature has focused on evaluating automatic and semi-automatic algorithms, works evaluating interactive segmentation algorithms are less numerous. Note that interactive segmentation can improve results by adding prior knowledge from users into the process. Although this...
This paper proposes a simple approach to split the clumps found in Histopathological Images. Watershed algorithm is generally used to segment and separate the clumps. Several studies have revealed that watershed algorithm suffer drawbacks leading to lesser accuracy in clump splitting. From the literature it is evident that most of the existing methods on clump splitting have been applied on binary...
It proposed a positioning algorithm, which is based on secondary positioning of the shoe print image. After the pre-process was imposed on the image, the image is rotated by the algorithm of the vertex angle deflection according to the image feature. Then, the algorithm of equidistant vertical line as the second position is imposed on the image. Finally, the shoe image is in a perpendicular position...
The authors propose a novel pre-processing phase that can be integrated into conventional methods to detect and recognize planar visual objects in printed materials with low computational cost and higher accuracy. A simple yet efficient visual saliency estimation technique based on regional contrast is developed to quickly filter out low informative regions in printed materials. By eliminating noisy...
Segmentation of the foreground objects is the primary step in many video analysis applications. The accuracy of the segmentation is dependent on an accurate background image that is used for background subtraction. The Teknomo-Fernandez (TF) algorithm is an efficient algorithm that quickly generates a good background image. A previous study showed the extendibility of the TF algorithm to higher number...
In the context of stereo matching remaining a classical problem in computer vision, this paper presents a novel stereo matching algorithm based on ground control points using graph cut (GC). The proposed algorithm incorporates local and global stereo methods, initializes the disparity map with a local stereo approach in the first place on purpose of selecting GCPs (Ground Control Points), and applies...
Until now, designing a reliable image segmentation algorithm is still an open problem. Research related to this matter is still underway, but in one occasion we may be faced with the problem for selection image segmentation algorithms that will we use? To get the solution of this problem we need a good technical evaluation of image segmentation algorithms. With the technique, it is expected we can...
This paper proposed a system which is using smart phone to develop with a gyroscope sensor license plate location. For another part, it is also designed a flow chart of conditional iteration binarization, FCCIB. The way effectively improves the locating correct rate before the license plate location processing. The problem is that the binarization stage is influenced by environmental factors. That's...
Wheat diseases are harmful to wheat production, but there are few segmentation algorithms that can effectively identify common diseases of wheat leaves. This paper proposes an automatic and efficient solution with K-means clustering. Firstly, the colour image is transformed to Lab colour space from RGB. Clustering is then done by taking the absolute difference between each pixel and the clustering...
Clustering is a hotspot issues in the field of data mining. There is abundant digital image information in the image acquisition equipment, the image database or the Internet. Facing the large scale image information with rich semantics, it is difficult to obtain accurate information as soon as possible. Therefore, it is essential for us to study efficient image clustering algorithms, in which how...
We propose a cross-trees structure to perform the non-local cost aggregation for dense stereo matching. The cross-trees structure consists of a horizontal-tree and a vertical-tree. Compared to other spanning trees, the significant superiority of the cross-trees is that the trees' constructions are efficient and independent on any local or global property. Moreover, the trees are exactly unique. By...
The flower recognition system based on image processing has been developed. This system uses edge and color characteristics of flower images to classify flowers. Hu's seven-moment algorithm is applied to acquire edge characteristics. Red, green, blue, hue, and saturation characteristics are derived from histograms. K-nearest neighbor is used to classify flowers. The accuracy of this system is more...
In this paper, we look into the colour transformation algorithm, which focuses on the red-green colour vision deficient individuals. Red-green colour deficiency is the most common category of color blindness that causes red and green to be seen as beige color. Two main colour transformation algorithms namely the Daltonize and RGB-HSV algorithm are used to compare to see the different. These algorithms...
This paper presents a method for automatic hand gesture recognition of 'Bharatanatyam' dance using Fuzzy L membership function based approach. Here, a 3-stage system has been designed. In the first stage, the hand of the dancer from background is isolated using Texture based segmentation and thus the contour of the hand is extracted by using Sobel edge detection technique. In the next stage, centre...
In region-based stereo matching algorithm, the uniform size of support-window and identical reference value will influence the matching effects. In order to solve these problems, a novel stereo matching algorithm is proposed. The proposed algorithm can adaptively select the size of support-window and distribute weights based on geometrical distance and color distance. Firstly, the support-window size...
An efficient colorization scheme for images based on prioritized source propagation is proposed in this work. A user first scribbles colors on a set of source pixels in an image. The proposed algorithm then propagates those colors to the other non-source pixels. Specifically, the proposed algorithm identifies the non-source pixel with the highest priority, which can be most reliably colorized. Then,...
Aiming at the problems of the global image matching, an area based on image matching algorithm is presented. In the paper, the principle of area based image matching is given firstly and the algorithm is analyzed in detail. In the algorithm, in order to diminish the influence of the segmentation to image matching, color key feature points are chosen as the feature of image and weighted distance measurement...
In Mean Shift algorithm, the features of the tracked target and the image matching similarity criterion have great influence on the result of tracking. a new algorithm of target tracking is proposed. the algorithm combine local binary pattern and color information to form a new feature CL, which tracks target by using a method of centroid iteration based on maximum posterior probability. Thanks to...
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