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Road network detection is the process of detecting and extracting the road network from very high resolution satellite and aerial images. It is essential for many applications like map generation and updating. To do this road network detection, resolution of satellite and aerial images plays an important role. If experts try to label the road pixels manually, it will take more time and will lead to...
Object tracking is currently one of the most active research areas in computer vision. In this paper we compare and analyze the performance of six recent object tracking algorithms on a raw, low resolution, unregistered, interlaced aerial video of multiple cars moving on a roadway. This dataset comprising 50 frames of video offers a wide variety of challenges related to imaging issues such as low...
We present a semi-automated approach to recognize and hierarchically partition water-body regions of Arctic tundra landscape, such as streams, inundated drained thaw lake basins and ice wedge polygon ponds, in high resolution satellite imagery. The approach integrates the active contours without edges (ACWE) technique and shape-based recognition, and introduces a recursive mode of ACWE application...
In this work, the feasibility of classifying amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer's disease, was investigated using fMRI activation patterns in the medial temporal lobes (MTL). The activation volume or relative activation extent in each of fourteen subregions of the MTL, when subjects were performing memory tasks, served as features for radial basis function networks...
Management of crops from early stage to mature harvest stage involves identification and monitoring of plant diseases, nutrient deficiency, controlled irrigation and controlled use of fertilizers and pesticides. Although the number of remote sensing solutions is increasing, the availability and ground visibility during critical growth stages of crops continue to be major concerns. eAGROBOT (a prototype)...
Image registration is one of the crucial steps in the analysis of remotely sensed data. A new acquired image must be transformed, using image registration techniques, to match the orientation and scale of the related reference images. Image registration requires intensive computational effort not only because of its computational complexity, but also due to the continuous increase in image resolution...
The work presents an effective approach for subpixel motion estimation for Super-resolution (SR). The objective is to improve the quality of the estimated SR image by increasing the accuracy of the motion vectors used in the SR procedure. The correction of the motion vectors is based on appearance of error artifacts in the SR image, introduced due to registration errors. First, SR is performed using...
Reliable extraction/segmentation of text lines, words and characters is one of the very important steps for development of automated systems for understanding the text in low resolution display board images. In this paper, a new approach for segmentation of text lines, words and characters from Kannada text in low resolution display board images is presented. The proposed method uses projection profile...
With the improvement of satellite resolution and the object-oriented detection method in satellite images, traffic data can be more quickly and widely acquired in large area satellite images compared with the traditional data acquired method. With the technology of image enhancement, the paper improved the image quality first, and then utilized the multi-scale segmentation technology and supervised...
In this paper, the sub-pixel classification algorithms such as fuzzy c-means and fuzzy weighted c-means algorithms are implemented, which estimates the proportion of class components within a pixel. Experiments are carried out with the QuickBird multispectral image and the classification accuracy is estimated by the confusion matrices. The performance of these sub-pixel classification algorithms are...
Facial expression recognition (FER) is important for robots and computers to achieve natural interaction with human. Over the years, researchers have proposed different feature descriptors, implemented different classification methods, and carried out test experiments on different datasets in realizing an automatic FER system. While achieving good performance, the most efficient feature space and...
Stereo vision is a well-known technique for acquiring depth information. In this paper, we present an FPGA-based real-time high-quality stereo vision system. By using AD-Census cost initialization, cross-based aggregation and semi-global optimization, the system provides high-quality depth results for highdefinition images. This is the first complete real-time hardware system that supports both cost...
In this paper, we propose a method to distinguish pedestrians facing to the front and the side by using a low resolution and quality surveillance image sequence. In the past, there have been many methods to estimate the head orientation of a pedestrian. However, because all these methods use facial texture information to achieve the goal, it is difficult to apply the methods to a low resolution and...
Automated optical inspection (AOI) is desirable in printed circuit board (PCB) manufacturing as inspecting manually is time-consuming and error-prone. This paper presents a study on evolving an AOI program with Genenetic-Programming (GP), an evolution-inspired technique. Using a GP-based approach, domain knowledge such as board design and lighting conditions are not required. Conventional feature...
Partial volume errors, caused by finite image resolution, that is, blurring in reconstructed images, prevent accurate quantitation of lesion uptake in oncological applications of PET. However, partial volume correction (PVC) is a challenging problem because image resolution is affected in a nontrivial way by a number of factors including patient, imaging protocol, background activity, and reconstruction...
Current Federal Aviation Administration Category I Instrument Landing System approach minima are a 200-foot above ground level Decision Height and 2,400-foot Runway Visual Range. The pilot may not commence an approach if the reported conditions are below these minimums and may only continue an approach below the decision height if the runway environment is in sight. This presentation will show that...
Remote sensing techniques are widely used for land cover classification and related analyses; however the availability of high resolution images have limited the accuracy of pixel based approaches. In this paper, we have analyzed the feasibility of incorporating contextual information to a support machine and have evaluated its performances with reference to the traditional approaches. Accuracy improvement...
Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results...
In this paper, we propose a 2-Sieve model for the detection of mitosis in breast cancer multispectral images. Multiresolution wavelet features & Gray Level Entropy Matrix (GLEM) features have been computed for each candidate on all the spectral bands. A novel dimensionality selection algorithm has been introduced and its performance compared with other existing algorithms. Data imbalance and data...
This article described a new method for discriminating models of laser printers by means of their printed characters, in particular details in contours of characters. A method we proposed was based on evaluating qualities in contours of printed characters using wavelet decomposition. Recently most of characters printed by laser printers were originally stored in printers or computers as vector outline...
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