Imaging technology

About: Imaging technology is a research topic. Over the lifetime, 1450 publications have been published within this topic receiving 26186 citations.

Correlated imaging guidance method and apparatus

Abstract: The embodiment of the invention provides a correlated imaging guidance method and apparatus. The method comprises: pulse laser is modulated by using a Hadamard matrix to generate a structural pulse light source; with the structural pulse light source and a high-speed barrel detector, a time-light intensity curve is obtained by spline interpolation; points at the time-light intensity curve are read and correlation operation is carried out to obtain an object image; and with the object image and the time-light intensity curve, distance information of a target is obtained. The correlated imaging guidance method has the beneficial effects: with combination of advantages of the flight time technology and calculation correlation imaging technology, correlation imaging with depth information is carried out on the target and precise distance information of the target is provided for image guidance; the imaging system is capable of realizing imaging at extremely weak light without being affected by cloud and mist interference and the resolution ratio is high; and a novel solving idea is provided for solving problems existing in existing image guidance.

High-spatial-resolution laser double-axis confocal spectrum-mass spectrum microimaging method and device

Abstract: The invention relates to a high-spatial-resolution laser double-axis confocal microscopic-microscopic microimaging method and device, and belongs to the field of confocal microimaging technology, spectrum imaging technology and mass spectrum imaging technology. The method is that the double-axis confocal imaging technology, the mass spectrum imaging technology and the mass spectrum detecting technology are combined; a high-spatial-resolution morphological imaging is carried out for a sample through micro focusing spots of a double-axis cofocal microscope processed by the super resolution technique; micro area mass spectrum imaging is performed through electric molecules and atoms produced by desorbing and ionizing the sample through the focusing spots of a double-axis cofocal microscope system by a mass spectrum detecting system; the spectrum imaging is performed according to plasma emission spectral information produced by the spectrum detecting system during desorbing and ionizing the sample through the focusing spots of the double-axis cofocal microscope system, and then the detecting data information are fused and compared to achieve the imaging and detecting of the micro area high spatial resolution, high sensitive form and components of the tested sample. The method and device can provide a brand new effective technological way for high-resolution imaging of biomass spectrometry.

FPGA-based architecture for real-time IP video and image compression

Abstract: Three-dimensional imaging applications require high resolution images that finally result in high data volumes. Due to bandwidth and storage restrictions, an efficient and robust compression scheme must be developed in order to overcome these limitations. This work presents a hardware implementation of a real-time disparity estimation scheme targeted but not limited to integral photography (IP) 3D imaging applications. The proposed system demonstrates an efficient architecture which copes with the increased bandwidth demands that 3D imaging technology requires. Moreover, the system can successfully process high resolution IP video sequences in real-time.

A novel x-ray imaging system and its imaging performance

Abstract: Since x-ray was discovered and applied to the imaging technology, the x-ray imaging techniques have experienced several improvements, from film-screen, x-ray image intensifier, CR to DR. To store and transmit the image information conveniently, the digital imaging is necessary for the imaging techniques in medicine and biology. Usually as the intensifying screen technique as for concerned, to get the digital image signals, the CCD was lens coupled directly to the screen, but which suffers from a loss of x-ray signal and resulted in the poor x-ray image perfonnance. Therefore, to improve the image performance, we joined the brightness intensifier, which, was named the Low Light Level (LLL) image intensifier in military affairs, between the intensifying screen and the CCD and designed the novel x-ray imaging system. This design method improved the image performance of the whole system thus decreased the x-ray dose. Comparison between two systems with and without the brightness intensifier was given in detail in this paper. Moreover, the main noise source of the image produced by the novel system was analyzed, and in this paper, the original images produced by the novel x-ray imaging system and the processed images were given respectively. It was clear that the image performance was satisfied and the x-ray imaging system can be used in security checking and many other nondestructive checking fields.

Frequency division denoising algorithm based on VIF adaptive 2D-VMD ultrasound image.

Abstract: Ultrasound imaging has developed into an indispensable imaging technology in medical diagnosis and treatment applications due to its unique advantages, such as safety, affordability, and convenience. With the development of data information acquisition technology, ultrasound imaging is increasingly susceptible to speckle noise, which leads to defects, such as low resolution, poor contrast, spots, and shadows, which affect the accuracy of physician analysis and diagnosis. To solve this problem, we proposed a frequency division denoising algorithm combining transform domain and spatial domain. First, the ultrasound image was decomposed into a series of sub-modal images using 2D variational mode decomposition (2D-VMD), and adaptively determined 2D-VMD parameter K value based on visual information fidelity (VIF) criterion. Then, an anisotropic diffusion filter was used to denoise low-frequency sub-modal images, and a 3D block matching algorithm (BM3D) was used to reduce noise for high-frequency images with high noise. Finally, each sub-modal image was reconstructed after processing to obtain the denoised ultrasound image. In the comparative experiments of synthetic, simulation, and real images, the performance of this method was quantitatively evaluated. Various results show that the ability of this algorithm in denoising and maintaining structural details is significantly better than that of other algorithms.