Papers by Keyword: Image Stitching

Abstract: Because of the inherent conflict between visual area and resolution in rock microscope structure, during the study of the RCTS (Rock Core Thin Section) microstructure, we cannot focus on the multi-scale structure characteristics of the particles, pores and throats, and it is fail to satisfy the demands of a more comprehensive study. In order to solve this problem, a microscopic image stitching method in RCTS is proposed by applying SIFT (Scale Invariant Feature Transform) detection algorithm. This method can successfully solve the conflict between the visual area and resolution, overcoming the problem of inclining and deformation in images acquisition under the microscope and finally, achieving the seamless stitching of RCTS microscopic image for big visual area. The experimental results show that this method can improve the accuracy of rock analysis in microstructure and has important practical and theoretical significance for the development of tight sandstone reservoir.

Abstract: Image stitching is an important technology to build a panorama image by combing several images with overlapped areas. In this study, we develop a image seamless mosaic and fusion technique to obtain a prefect panorama image after stitching. At first, it is using speeded-up robust features (SURF) algorithm to extract features form the images for stitching. Then, k-nearest neighbors (KNN) method is used to match the feature points and Random sample consensus (RANSAC) algorithm is used to clear them. Thirdly, a method is improved to achieve seamless stitching based on optimal suture of the overlapped areas. Experimental results indicate that this method can eliminate cohesion gap of two stitching images very well.

Abstract: We introduce a new algorithm for Image Registration and Stitching. The algorithm is designed to be extremely efficient and fast in its execution and is intended for use in stitching images extracted from a video stream of a camera. This algorithm is not universally applicable to all the image registration and stitching problems. It is customized to be used to generate single images of surfaces such as a conveyor belt or undercarriage of vehicles, which cannot be captured by a single photo. The algorithm works by extracting edges of the two images to be registered. Then it selects a reference section from the first image and search in the second image where it finds the best match for that section. The best match is the east difference score. We present full details of how the extraction of the heuristic is done from the inputs and how it drastically reduces the execution time of the algorithm. The paper also contains a full section on comparing our algorithm with a set of existing algorithms. Our algorithm outperforms the existing ones for all the common image sizes.

Abstract: Aiming at the need of borehole and ruins exploration in the nearly dark environment, a Panoramic Image System is proposed in this paper. consisting of a reciprocating motor, a steering gear with complete rotation, a miniature camera, a depth transducer and radio frequency wireless module. The camera was pushed to the specified location of the pipe by the motor and then the steering gear was rotated for panorama image acquisition. In order to achieve a seamless panoramic image without distortion, a fusion algorithm based on Principal Component Analysis (PCA) and an image mosaic algorithm for image edge extracting based on Canny operator were proposed. The imaging system has good usability and applicability.

Abstract: The image stitching method is widely used into the suspect's footprint information extraction. In order to improve the image detail and the matching precision, the Footprint map image stitching method which is based on the wavelet transform and the SIFT feature matching is put forward. The wavelet transform in this method is perform based on the pretreatment of image, move the low frequency wavelet coefficient to zero, adjusting thresholds of the high frequency wavelet coefficient and inverse transformation, then, use the SIFT to extract and match the key-points of the processed images. For the error matching pair of coarse match, you can use the RANSAC to filter them out. This article demonstrates its advantage through to the original image splicing comparisons. The experimental results show that the method display more clear detail and the precision of matching than the original method.

Abstract: A machine vision on-line detection system for automobile frame side fail mounting holes is proposed in this article to solve the backward and low-efficiency problems for detection methods of large-size automobile frame side fail mounting holes. Many images captured by CDD camera are processed and analyzed by virtue of algorithms such as image stitching, threshold segmentation, edge detection, feature extraction, etc.. The developed detection system prototype has very high detection accuracy.

Abstract: Scanning tunneling microscope (STM) has several advantages, such as high resolution, and is wildly used. Piezoelectric scanner brings the horizontal resolution of STM up to 0.1 nm, and is it derived by piezoelectric ceramic. Piezoelectric scanner has piezoelectric ceramic’s character. So, piezoelectric scanner output must be calibrated at regular intervals. Graphite atom arrange in a special manner. In the same layer, the distance between adjacent atoms is the same, 0.25nm. This feature can be used to measure length and calibrate small scale scanning. For the 512 × 512 resolution image, the maximum scan range that can distinguish atoms is 30nm2. More large area of atomic image needs to use image stitching technology. By image stitching, small scale scanning, less than 1μm can be calibrated.

Abstract: Images are widely used in engineering work and scientific research, therefore, it is necessary to identify the image. The image recognition technology is one of the core technologies in traditional production and life, but the identify limitations can not meet the needs of many aspects of the identification problem. Use image stitching technology can increase the angle range of the target image and enhance the image definition, to achieve the identification of target image accurately.

Abstract: A measuring method of large sized workpiece based on SIFT algorithm is proposed in this paper. After the different image matching algorithms are compared, SIFT algorithm, which has much more robust, is introduced in detail. Then measuring platform is built, and large sized workpiece is measured by SIFT image stitching and image processing. The experiment proves that SIFT algorithm is viable and advantageous in the measurement of large sized workpiece. At last, the precision and affecting factors are analyzed.