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In this paper, an unsupervised seafloor segmentation method using combined texture features of sidescan sonar images is proposed. Two sets of features are considered in the proposed algorithm. One calculates the statistics from the gray-level co-occurrence matrix (GLCM), and the other obtains the statistics in the nonsubsampled contourlet transform domain (NSCT). The two sets of features are combined...
A hyperspectral change detection method with stereo depth information enhancement is proposed in this paper. The method operates on the hyperspectral data acquired by the ground-based hyperspectral stereo imaging system. The imaging system combines the properties of panoramic and stereo imaging with the high spectral resolution of hyperspectral cameras, and is of use especially for surveillance applications...
Background replacement using a landscape image can generate realism when video chatting, making the user feel as if they are actually at the location shown in the landscape. In our previous study, to enhance this realism, we proposed a background replacement method using a chromatic adaptation transform. This method fits the color of a foreground image to the illuminant of the landscape used as the...
This paper presents a novel framework for Content Based Image Retrieval(CBIR), which combines color, texture and spatial structure of image. The proposed method uses color, texture and spatial structure descriptors to form a feature vector. Images are segmented into regions to extract local color, texture and CENTRIST(CENsus Transform hISTogram) features respectively. Multiple-instance learning (MIL)...
Character Recognition is a process of understanding a human readable text document by machines. Today many researchers in the academia and industry are interested in this direction. This paper describes a novel method of Character Recognition. The main objective of this is to use the Radon Transform and Principal Component Analysis to obtain a set of invariant features, on basis of which a character...
Hand shape is a natural and human-friendly interface for human-computer interaction. This paper proposes a realtime and 2D vision-based hand shape recognition method. The method is robust to hand pose changes because the hand pose is neutralized after recognizing a hand pose using distance transform, principal component analysis (PCA), and histogram analysis. Also, the context-based recognition method...
Everyday medical is capturing thousands of images which need to be classified in a proper way. In this paper, we address the problem of replacing the existing images with the captured one. We provide a new solution by storing only the nonexisting part of the image. Though medical images have been classified in past by using various techniques, the researchers are always finding alternative strategies...
This paper addresses the problem of automatic classification of fish species, by using image analysis techniques and artificial immune systems. Unlike most common methodologies, which are based on manual estimations that lead to significant time and financial constraints, we present an automatic framework based on (i) two well-known robust feature extraction techniques: Scale-Invariant Feature Transform...
A novel image fusion algorithm using adaptive Unit-Linking Pulse Coupled Neural Networks (ULPCNN) is put forward. Firstly, ULPCNN threshold function is improved, and then the null interconnection and the adaptive interconnection ULPCNN are formed. Secondly, the nonlinear mapped ULPCNN time matrix can be obtained, which can represent the characteristic of the single pixel, but can reflect the pixel...
Image Fusion is the basic way to complement the panchromatic bands which occupies precise spatial resolution with the multi-spectral bands which contains abundant spectral details. By the courtesy of rapid development of remote sensing techniques, to the same area, there are lots of images with different spatial and spectral resolutions, which boost the necessity of image fusion. There have been various...
Line matching is useful in many computer vision tasks such as object recognition, image registration, and 3D reconstruction. The literature on line matching has advanced in recent years, nevertheless, compared to other features (such as point and region matching approaches) it has made little progress. Especially, very few algorithms address the problem of image scaling. In this paper, we present...
The proposed method provides novel tradeoff solution to preserve spectral as well as spatial quality using fuzzy logic. It combines match measure, region based approach and fuzzy logic to produce quality pan sharp image. Standard pan-sharpening methods do not allow control of the spatial and spectral quality of the pan sharp image. Sugeno integral fuzzy logic model allows us to blend the benefits...
Hough transform and its revised versions are popular and powerful methods for line detection. However, most of them need edge images as input, and do not consider the scale selection. Besides, it is difficult for Hough-based methods to eliminate spurious peaks caused by noise points. This paper proposes a Principal Component Analysis (PCA) based approach for line segment detection. In the proposed...
In this paper, shadow detection and compensation are treated as image enhancement tasks. The principal components analysis (PCA) and luminance based multi-scale Retinex (LMSR) algorithm are explored to detect and compensate shadow in high resolution satellite image. PCA provides orthogonally channels, thus allow the color to remain stable despite the modification of luminance. Firstly, the PCA transform...
In this paper, we adopt constrained relaxation for distributed multi-view video coding (DMVC). The novel framework integrates the graph-based segmentation and matching to generate inter-view correlated side information without knowing the camera parameters. Moreover, graph-based representations of multi-view images are incorporated to form more distinctive feature constraints. The sparse data as a...
Images captured from multi-sensor contain abundant information. It is available to combine them by image fusion schemes such as wavelet or Laplacian pyramid. Recently schemes based on independent component analysis (ICA) bases were proposed. These schemes transform images to ICA domain and then fuse them by fusion rules. Accordingly, the region based fusion rule segments images, selects features in...
A watershed transform and a graph partitioning are studied on statistical manifold. Statistical manifold is a 2D Riemannian manifold which is statistically defined by maps that transform a parameter domain onto a set of probability density functions (PDFs). Due to high dimensionality of PDFs, it is hard and computationally expensive to produce segmentation on statistical manifold. In this paper, we...
Image segmentation is the first step towards image analysis and image understanding. However, most image segmentation algorithms require a priori knowledge of the number of partitions in the image to be segmented. This paper introduces a novel method for completely unsupervised image segmentation by using wavelet analysis and fuzzy Gustafson-Kessel (GK) algorithm. The proposed algorithm needs no predefined...
This paper proposes a gait recognition method based on Hilbert-Huang descriptors (HHDs) and K-nearest neighbors method. For each image sequence, background subtraction algorithm is firstly used to segment the silhouettes of moving object from the background. When analyzing the body contours by HHDs, we obtain the gait features. K-nearest neighbors method is finally applied to analysis and recognition...
This paper presents an eye-gaze tracking system based on the image processing. All the computations are performed in software and the system just needs a PC camera attached to the user's computer. We first extract the facial regions form the images using the skin-color model and connected-component analysis. Then the eye regions are detected by employing the rules and area segmentation. After the...
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