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Semi-automatic/automatic road extraction from remote sensing imagery is one of the hot topics in the field of remote sensing, surveying and mapping and computer vision, etc. Traditional methods based on Marr's Computation Theory of Vision follow the pattern of local-to-global features extraction. However, in high resolution image, the local features such as road boundary and road width are easily...
Paper presents performance comparison of palm print identification techniques based on fractional coefficients of transformed palm print edge image using three transforms namely Cosine., Haar and Kekre. In transform domain., the energy of image gets concentrated towards low frequency region; this characteristic of image transforms is used here to reduce the feature vector size of palm print images...
We present a two stage framework for automatic video text removal to detect and remove embedded video texts and fill-in their remaining regions by appropriate data. In the video text detection stage, text locations in each frame are found via an unsupervised clustering performed on the connected components produced by the stroke width transform (SWT). Since SWT needs an accurate edge map, we develop...
A new feature description algorithm has been developed for scene image recognition. Since scene images have a large variation in the same scene category, the sequence representation using local image vectors has been explored in this work. The structural features present in scene images are enhanced by using oriented edges to represent local images. As a result, it has become possible to handle the...
Objective of this paper is to categorize aerial images into two classes: images with manmade structures and natural scene images. A novel self-assessed three-stage feature extraction method is presented here which includes extracting edges from the input gray image, applying Gabor filter to compute Gabor energy feature and wavelet decomposition technique to extract the feature vector of computationally...
The raster-vector conversion of remote sensing image is a very important task in the extraction and updating of linear objects in cartographic processes. In this paper we present a vectorization method, based on constrained Delaunay triangulation, for line extraction. The constraints are provided by a preprocessing step insuring that these edges belong to line structures in the original image. The...
Image encoding using interest points is a common technique in computer vision. In this paper we present a scale and rotation invariant shape centered interest point (SCIP) detector. By means of detecting singularities in Gradient Vector Flow (GVF) fields we find points of high symmetry in the image. Due to the nature of the underlying GVF field we can employ our features to group together edge-based...
The discrepancies among the spectral range of the component bands of MHSRRSI will result in remarkable differences of the response extent to detect edges of geographical features. Considering the unique property of each color space, an improved Canny operator has been proposed which is available to detect and extract vector or scalar edges from MHSRRSI in weighted color space ( such as RGB, linear...
Sparse coding is a method for finding a neural network representation of multidimensional data in which each of the components of the representation is rarely ignorantly active at the same time. The representation is closely related to Independent Component Analysis (ICA). In this paper, we introduced the basic principle of ICA and have investigated the capabilities of ICA in the field of image edge...
Micrographs of Chinese wines show floccule, stick and granule of variant shape and size. Different wines have variant microstructure and micrographs. A semisupervised wine classification method based on kernel principal component analysis (KPCA) method and fuzzy C-means (FCM) algorithm using edge feature from micrographs was proposed in this paper. In this work, ten Chinese wines are determined or...
In this paper, we suggest a method to identify the clothing as one approach for identifying a person in the grayscale image captured by a CCTV camera. We use the edge information of the clothing area for extracting the textural feature of the clothing. The edge filter is applied to the clothing area, and the histograms on the edge values are constructed. The feature vector is composed from the histograms...
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