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In this paper, a building facade detection algorithm is proposed. Proposed algorithm first detects the edges present in an image and connects them into line segments. Then a polar histogram mapping is used to find the vanishing points in the scene. An approach with low complexity is introduced to cluster the line segments according to their vanishing points. Line segments and their corresponding vanishing...
In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED probe by computer vision. In previous paper, we proposed an effective method based on Canny edge detection...
This paper reports that uncertainty of detected edges on a fish-eye image depends on the direction to observe the edges. In fish-eye cameras, dimensions of observation space corresponding to a pixel greatly change with the pixel location. This dimension is defined as “spatial uncertainty” in this paper and formulated with typical projection models of fish-eye cameras. Experimental results showed that...
Classification of Videos based on their content is becoming more and more essential everyday because of the vast amount of video data becoming available. Various Feature Extraction and data mining techniques can be used to perform Video Classification. This paper uses edge detection techniques such as Object Extraction and Canny Edge Detection (using Sobel, Prewitt and Robert's operator) to extract...
Multimedia sharing has become a recent trend over the Internet among which videos are an integral part. In order to handle such large amount of video data, classification techniques are necessary. This paper provides a video classification technique which uses a Fuzzy rule base to calculate a fuzzy measure ‘Edginess’ for each pixel. Differences in pixel intensity are calculated and compared with a...
This paper presents an essential algorithm for optimization-based image processing using the bilateral filter (BLF), called constant-time transposed BLF (O(1) TBLF). Some iterative solvers for optimization problems require a pair of filters defined as multiplying a filter matrix or its transpose to vectorized images. Since the BLF can be described as a matrix form, its paired filter also exists, called...
In this paper, we address the problem of interactive image segmentation which segments an image based on user-supplied scribbles. For this purpose, we propose a novel framework that provides consistent performance robust to the location of input seeds. Most of the existing methods, especially random walk-based approaches, strongly depend on initial seed positions, which differ from one user to another...
A novel stroke-based method to localize text in unconstrained natural scene images is proposed. Firstly, in order to improve the edge detection in tough situations where the texts are partially occluded or noisy, we use stroke width histogram as guidance to generate a series of superpixels. Secondly, we present a novel way of using distance transform and sobel operator to extract character skeleton...
Accurate liver segmentation from computed tomography (CT) images is problematic due to non-uniform density, weak boundaries and because there may be multiple liver tumors that have heterogeneous intensities in region(s) of interest (ROIs). So we propose a generalized energy framework that harnesses the statistical intensity approximation with image data on graphs. Our statistical energy term takes...
The nose radius of a cutting insert is known to affect the surface roughness and dimensional accuracy of the finished product. Thus, accurate measurement of tool nose radius is important in tool quality monitoring. In this paper we present a new approach in measuring nose radii of multiple cutting inserts from scanned images using image processing. Batch processing of inserts solves the problem of...
The paper presents two advanced methods for comparative study in the field of computer vision. The first method involves the implementation of the Scalar Invariant Fourier Transform (SIFT) algorithm for the leaf recognition based on the key descriptors value. The second method involves the contour-based corner detection and classification which is done with the help of Mean Projection algorithm. The...
Stack Exchange (SE) is a network of popular Community based Question and Answering (CQA) websites. Each SE Q&A website is created to address questions on specific user interest or domain. However, often users post questions on SE websites that do not match the domain of the website. Such questions are considered as Off-topic for the origin site. Off-topic questions must be detected and migrated...
Depth estimation from defocus (DFD) has proved to be an efficient way to recover depth information based on the blur amount of defocus images. By introducing a multi-scale strategy into DFD, a novel depth estimation method from a single defocused image is proposed in this paper. The original input image is re-blurred using Gaussian kernels with different scale parameters, then a robust estimation...
This research is to propose a fast and highly accurate object recognition method especially for fruit recognition applications to be used in a mobile environment. Conventional techniques are based on one or more of the basic features that characterize an object: color, shape, texture and intensity, causing performance or accuracy limitations in a mobile environment. Thus, this paper presents a combined...
Community structure is one of the most important and characteristic features of social networks. Numerous methods for discovering implicit user communities from a social graph of users have been proposed in recent years. However, most of them have performance and scalability issues which make them hardly applicable to population-wide analysis of modern social networks (billions of users and growing)...
In our research, we have studied the autonomous running control system of the automatic guided vehicles (AGV) used in the manufacturing facilities using the tablet PC. The moving direction of automatic vehicle is controlled by the results of image processing methods on captured images of the tablet PC. In the image processing step, after detecting edges we obtain wall-floor boundaries by analyzing...
Brain hemorrhage which happens as a result of bleeding due to rupturing of blood vessels within the brain matter is the main causes of human death. This discharge of blood may disturb the normal circulation of the brain. Computed Tomography (CT) has been the primary modality for the detection of brain hemorrhages because it is widely available, less expensive, quick to perform, and depicts rapidly...
With the development of Internet, online social networks and websites generate a large amount of data. At the same time, several distributed systems, represented by Hadoop, has been proposed to handle mass data. These systems provide both efficient and convenient way to construct different kinds of algorithms. Community detection, a traditional research area, is now facing the challenge of Big Data...
Texas A&M University Corpus-Christi is undergoing a major university expansion on its island campus. The university's Conrad Blucher Institute for Surveying and Science was tasked with providing the spatial information needs related to this expansion. To meet this objective, a small-scale Unmanned Aircraft System (UAS) equipped with a small-format digital camera is utilized to acquire aerial imagery...
The Canny algorithm has been extensively adopted to perform edge detection in images. The Derivative of Gaussian (DoG) proposed by Canny has been shown to be the optimal edge detector to compute the image gradient due to its robustness to noise. However, the DoG has some important drawbacks in relation to images with thin edges of a few pixels width and junctions. The excessive blurring provided by...
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