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This paper proposes a novel technique for segmenting the ground plane and at the same time estimating the occupancy probability of each point in a scene. Using a stereo camera rig, our system first calculates a disparity map and transforms it to a v-disparity map, which is then filtered and processed to generate a corresponding probability field. The probability field generated is then used for precise...
In order to solve the problem of large amount of calculation of UAV image mosaic algorithm, this text put forward a kind of image mosaic algorithm based on edge extended phase correlation. First use the iterative threshold segmentation method to detect the image edge, then carry on the extended phase correlation calculation on the detected edge, thus can obtain the image translation, rotation and...
Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science & technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biometric...
Concept and method of energy-morphological operations are simply expounded. The paper studies properties in hyper-spectral remote sensing data. The optimal bands are obtained by the correlation and information quantity, then gradient and edge are acquired by energy-morphological function, and then we can gain image constructed by gradients map overlaying edge map. Finally, by local minima values and...
In order to solve the problems of visual and IR image registration, a new registration method for visual and IR image pairs is presented in this paper. As intensity discrepancy of visual and IR images, straight lines extracted by Hough transformation are used as registration primitives because these features are common to both images. The similarity transformation is considered and the parameters...
Several widely used fusion methods may not be satisfactory to merge a high-resolution panchromatic image and low-resolution multi-spectral images because they can distort the spectral characteristics of the multi-spectral image or worsen the spatial resolution of the panchromatic image. In this paper, a fusion algorithm for multi-spectral and panchromatic images based on region correlation coefficient...
We propose an approach to conduct video scene detection especially for travel videos captured by amateur photographers in journeys. The correlation between a travel video and its corresponding text-based travel schedule is discovered. Because scene boundaries are clearly defined in schedules, we segment videos into scenes by checking the discovered cross-media correlation. To make these two modalities...
A typical consumer digital camera uses a Color Filter Array (CFA) to sense only one color component per image pixel. The original three-color image is reconstructed by interpolating the missing color components. This interpolation process (known as demosaicing) corresponds to solving an under-determined system of linear equations. In this paper, we show that by replacing the traditional CFA with a...
Image fusion is a very important step for image mosaic. Fusion algorithms affect the visual effect and quality of the mosaic images directly. This paper presents an adaptive weighted coefficients algorithm for image fusion. The algorithm can adjust weighted coefficients adaptively along with changes of the range and shape of the overlapping regions. First, Harris operator is used to detect feature...
Image registration is of prime importance for image mosaic. It is the process of geometrically aligning one image to another image of the same scene taken from different time, from different viewpoints or by different sensors. In general, image registration needs a lot of time. This paper reduces the computation time from two aspects. For coarse matching, the paper combines normalized cross correlation...
This paper addresses the development of an automatic segmentation technique for detecting cell nuclei. The technique uses a new approach for segmenting nuclei in images taken from tissues with colon carcinoma. The segmentation problems encountered in these images and solved by the proposed technique are related to the non-uniform illumination on the background, out-of-focus nuclei, the physical structure...
This paper proposes an universal method to detect and recognize road signs of any countries with any color or any of the existing shapes (e.g. circular, rectangular, triangular, pentagonal and octagonal). The presented system is invariant to transformation (e.g. translation, rotation, scale and occlusion). There are three main stages in the proposed algorithm: 1) segmentation based on the color features...
A robust subpixel registration method for image mosaicing is presented in this paper. The method takes advantage of frequency-domain characterization to estimate the geometric transformation between images. The rotation and scale parameters between the to-be-mosaiced images are converted to translations by the Fourier-Mellin Transform (FMT), then the translation is estimated by the phase correlation...
A fast and robust method for visual odometry based on the Fourier-Mellin Invariant (FMI) descriptor is presented. It extends previous FMI based approaches in two ways. First, a logarithmic representation of the spectral magnitude of the FMI descriptor is used. Second, a filter on the frequency where the shift is supposed to appear is applied. It is shown with experiments with an Unmanned Aerial Vehicle...
Paper presents a method for color image compression coding by using correlation vectors combined with SPIHT Algorithm. In this method, the Green component of a color image is coded using SPIHT Algorithm, and the other two components are segmented into multi-subregions by quadtree partitioning according to the non-correlation degree of three color components. Based on the calculated correlation vectors...
The polygon image fragment is a special fragment type, whose sides is composed of straight line segment, and it has seldom been researched. In this paper, a new image fragment reassembly methodology based on corner detection and gray correlation is proposed for polygon fragments. The experimentation indicates the reassembly methodology based on corner detection and gray correlation can get good result,...
This paper concerns the problem of automatic image stitching which mainly applies to the image sequence. Our proposed method gets the features based on scale invariant feature transform and finds the match pairs. Then we use feature deformation vectors and propagate them from the optimal partitions toward other pixels in the input images. The experiment results confirm the feasibility of our methods.
This paper presents an image denoising scheme based on the correlation of the wavelet coefficients. It is well settled that significant features in images evolve with high magnitude across wavelet scales, while noise decays rapidly. Multiplying the adjacent wavelet scales sharpens the edges structures while weakening noise. This property is exploited by applying threshold to the scale correlation...
A redundant wavelet transforms based stereo video objects segmentation algorithm is presented. First, the redundant wavelet transforms is used to extract the feature points of stereo video images, and then according to the feature points, the disparity estimation is done to form a disparity map. The stationary video objects are segmented from the stereo images by disparity map. For the moving video...
In this paper, variable image segmentation and mixed transform are used to capitalize on the narrow band and broadband signal components for image compression. A mixture of transforms can exploit the different spectral bands in an image in achieve higher compression as compared to single transforms. However, the optimal distribution of the signal into transforms. However, the optimal distribution...
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