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This paper presents a multichannel Curvelet based image denoising scheme using hard thresholding and multiscale Non-Local Means (NLM) filtering. For the suppression of ringing artifacts due to hard thresholding and better localization of local structures like: edges, textures and small details the reconstructed image is further processed using Guided Image Filter (GIF). Each channel of the image is...
The HMI-Guard platform opens up a non-intrusive means of guarding against human errors that are introduced by Human-in-the-loop (HITL) interaction via the Human Machine Interfaces (HMIs). Motivation for this framework is partly in response to prevalence of legacy HMI devices (E.g. meters, rotary dials, gauges, alarm indicators, etc.) in industrial control room environments such as in nuclear power...
Autonomous vehicles, as people all know, will have great impact to human transportation in the near future. In the vision system of autonomous vehicles, the lane detection has always been an important part. This paper describes an algorithm which can make the lane detection process faster and more applicable. The algorithm is mainly based on lane mark detection and Reduced Resolution lane detection...
This paper presents a text detection approach based on Stroke Width Transform (SWT) and methodology to extract letter candidates. Major application focus here is tourism industry and local transport, to help people to deal with different Indian languages which involve text associated with natural scenes in the local public places. Multilingual text system supports curvy letters with different scale,...
In the detection of the welding spot in the Automobilebody, there are some shortcomings in this method, which uses edge detection combined with Hough transform to detect the welding spot. This paper proposed a new method, which based on morphological reconstruction to detect welding spot. In this method, according to the morphological characteristics of the welding spot image, the image is pre-processed...
This paper proposes a method that separates the region of each leaf from an image of occluded leaves and produces a set of single-leaf images as an output. To identify the region of a single leaf, intersection points and direction field are required. An intersection point, which is defined as a concave point between leaves, is used as the starting position of leaf estimation process. Direction field,...
In this paper, we present a procedural 2.5D water flow simulation technique to animate pictures. For a given picture, we convert it into a 2.5D structure and then perform water simulation for the 2.5D structure (like a shallow-relief sculpture). The proposed approach is divided into three phases: image processing, water simulation and rendering. First, we extract the objects in the picture and compute...
The paper presents an automatic traffic sign recognition system using the videos recorded from an on-board dashcam. It is based on image processing, bilateral Chinese transform, and vertex and bisector transform techniques. The images captured from the dashcam are processed with the histogram of oriented gradients to form feature vectors, followed by support vector machines to detect the traffic signs...
Conventional skeleton extraction methods require a closed boundary constraint to solve the problem. In natural images closed boundary constraint might not be easily satisfied due to the similarity of the object and its background, occlusion, etc. In this paper a novel approach based on the Delaunay triangulation to solve the skeleton extraction in natural images is proposed. The algorithm shows a...
Outdoor scene visibility deteriorates due to presence of haze or fog. Several dehazing techniques have found its application in fields of surveillance, detection, restoration and tracking. The techniques proposed till date are computationally complex and time consuming and thus not suited for real-time applications. The degraded images mostly suffer from reduced contrast. The technique proposed in...
The issue of image completion is well developed in these years. Most of them reconstruct damaged area by referring to the under-repaired images themselves. However, they may fail if damaged portion collapse their structure which is unique and important. We propose to use an external reference image to repair the damaged image and the method provides the following three contributions: (1) an algorithm...
The infrared and noisy image pair fusion provides a high-quality image of the images captured in the low lighting conditions. This paper devises a quick method of image fusion which uses FFT for detail layer fusion and BM3D denoising method. The infrared images lack brightness and colour component as captured by the infrared light reflection. Thus leads to unrealistic images for naïve fusion. To solve...
This paper presents a text detection method based on multi-scale Stroke Width Transform (SWT). First, an image pyramid is built and SWT is performed on each level of the pyramid. Second, edge components are filtered using two novel features, stroke pair ratio (SPR) and edge density of a connected component (EDC). Next, the remaining edge components on each level are grouped into text lines. And these...
Visually salient object or region detection in images is an active research field in recent years. Inspired by that curvelets can provide multi-scale sparse representation of objects with edges and textures, in this paper, we propose a novel saliency detection model based on fast discrete curvelet transform (SDCT) to detect more compact salient objects in an image. First, fast discrete curvelet transform...
Video Surveillance is very important and essential task for security applications. Earlier surveillance was like capturing a video from camera, storing the information in a database, and then required contents were accessed manually from the database. It may lead to loss of sensitive information in real time. In such cases automated video surveillance is very essential. In automated video surveillance,...
Haze removal, which is also referred to as image dehazing, has been extensively used to improve the visibility in images captured under inclement weather. In particular, the dark channel prior (DCP)-based single image dehazing has received the greatest amount of interest due to its superior performance. However, since the DCP is based on the characteristics of natural outdoor images, its reliability...
Text location from natural scene images is very challenging due to variations in text fonts, color, alignment and illumination. In order to deal with this problem, a novel method of scene text location is proposed. Firstly, gradient difference is introduced to detect text regions, because it can capture the texture various in the local regions. Secondly, a stroke width based verification step is employed...
We present a modified joint trilateral filter based method for depth map refinement. Seeded region growing algorithm and Euclidean distance transform(EDT) are involved for error pixels extraction. With the error information wiped out, a joint trilateral filter method is employed as a hole filling strategy to fill the values. Compared to the basic bilateral filter method, structural similarity index(SSIM)...
The ball recognition algorithm in Robocup is challenging with regard to the computing complexity and false positive rate. This paper proposes a new method to deal with the real-time arbitrary colored ball recognition for a humanoid soccer robot. At the beginning, the image is matched with a look-up table under the HSV color space. After we get the edge pixels information, the ball is recognized by...
Automatic text detection from natural scene images catches everyone's attention because of applications in robotic navigation, aid for visually impaired people, image retrieval, number plate detection, content-based web search, intelligent transport system etc. In this paper, our aim is to detect text in natural images and textual images using stroke-width transform method. An image operator (SWT)...
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