scholarly journals Compare the Similarity between Two Quantum Images

2021 ◽  
Author(s):  
You-hang Liu ◽  
Zai-dong Qi ◽  
Qiang Liu
Keyword(s):  
Image Processing ◽  
Digital Images ◽  
Quantum Computer ◽  
Quantum Algorithms ◽  
Color Images ◽  
The Real ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Quantum Images

Abstract Comparing the similarity between digital images is an important subroutine in various image processing algorithms. In this study, we present three quantum algorithms for comparing the similarity between two quantum images. These algorithms apply to binary, grey and color images respectively. Without considering the image preparation, the proposed algorithms achieve exponential acceleration than the existing quantum and classical methods in complexity. At the end of this paper, an experiment based on the real quantum computer of IBMQ and simulations verify the effectiveness of the algorithms.

Development of Digital Image-Processing Algorithm to Compute Unified Crack Index for Salt Lake City

1996 ◽  
Vol 1526 (1) ◽  
pp. 142-148 ◽  
Author(s):  
Siriphan Jitprasithsiri ◽  
Hosin Lee ◽  
Robert G. Sorcic ◽  
Richard Johnston
Keyword(s):  
Image Processing ◽  
Digital Images ◽  
Salt Lake ◽  
Salt Lake City ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Crack Index ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Lake City

This paper presents the recent efforts in developing an image processing algorithm for computing a unified pavement crack index for Salt Lake City. The pavement surface images were collected using a digital camera mounted on a van. Each image covers a pavement area of 2.13 m (7 ft) × 1.52 m (5 ft), taken at every 30-m (100-ft) station. The digital images were then transferred onto a 1-gigabyte hard disk from a set of memory cards each of which can store 21 digital images. Approximately 1,500 images are then transferred from the hard disk to a compact disc. The image-processing algorithm, based on a variable thresholding technique, was developed on a personal computer to automatically process pavement images. The image is divided into 140 smaller tiles, each tile consisting of 40 × 40 pixels. To measure the amount of cracking, a variable threshold value is computed based on the average gray value of each tile. The program then automatically counts the number of cracked tiles and computes a unified crack index for each pavement image. The crack indexes computed from the image-processing algorithms are compared against the manual rating procedure in this paper. The image-processing algorithms were applied to process more than 450 surveyed miles of Salt Lake City street network.

193 EFFECT OF IMAGE PROCESSING ALGORITHMS ON THE PRECISE MEASUREMENT OF VESSEL CALIBER IN DIGITAL IMAGES

1986 ◽  
Vol 21 (9) ◽  
pp. S49
Author(s):  
K. Reagan ◽  
L. M. Boxt ◽  
R. H. Taus ◽  
W. Hanlon ◽  
M. F. Meyerovitz ◽  
...  
Keyword(s):  
Image Processing ◽  
Precise Measurement ◽  
Digital Images ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Hybrid Reconfigurable PC Add-on Card for Parallel Image Processing

2011 ◽  
Vol 110-116 ◽  
pp. 5057-5062
Author(s):  
Aadithya Ravi ◽  
Easwara E.A. Moorthy ◽  
D. Vidya ◽  
G.Mahesh Kumar
Keyword(s):  
Image Processing ◽  
Real Time ◽  
The Real ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Specific hardware solutions are always faster than programmable architectures. But dedicated architectures have the inherent disadvantage of inflexibility. Changes in the algorithm or extensions of the application are handled easily by programmable architectures. The approach discussed here involves a hardware-software co-design to optimize on performance and programmability. The architecture houses two SHARC processors to aid in parallelizing the image processing algorithms, and a reconfigurable FPGA which may be configured on the fly to execute any of the real-time algorithms as desired. The functional memory would consist of pre-designs (FPGA based) of certain objects, each of which could be used to configure an FPGA to perform a particular function.

Otoconia perfect/imperfect crystals

1994 ◽  
Vol 52 ◽  
pp. 42-43
Author(s):  
César D. Fermin ◽  
Dale Martin
Keyword(s):  
Image Processing ◽  
Room Temperature ◽  
Phosphotungstic Acid ◽  
Gallus Domesticus ◽  
Crystal Matrix ◽  
Organic Templates ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Diffraction Patterns

Otoconia of higher vertebrates are interesting biological crystals that display the diffraction patterns of perfect crystals (e.g., calcite for birds and mammal) when intact, but fail to produce a regular crystallographic pattern when fixed. Image processing of the fixed crystal matrix, which resembles the organic templates of teeth and bone, failed to clarify a paradox of biomineralization described by Mann. Recently, we suggested that inner ear otoconia crystals contain growth plates that run in different directions, and that the arrangement of the plates may contribute to the turning angles seen at the hexagonal faces of the crystals.Using image processing algorithms described earlier, and Fourier Transform function (2FFT) of BioScan Optimas®, we evaluated the patterns in the packing of the otoconia fibrils of newly hatched chicks (Gallus domesticus) inner ears. Animals were fixed in situ by perfusion of 1% phosphotungstic acid (PTA) at room temperature through the left ventricle, after intraperitoneal Nembutal (35mg/Kg) deep anesthesia. Negatives were made with a Hitachi H-7100 TEM at 50K-400K magnifications. The negatives were then placed on a light box, where images were filtered and transferred to a 35 mm camera as described.

Elastic Graph-based Semi-supervised Embedding with Adaptive Loss Regression

2020 ◽  
Keyword(s):  
Image Processing ◽  
International Symposium ◽  
Fast Track ◽  
Electronic Imaging ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Image Processing: Algorithms and Systems proceedings.

scholarly journals Fractional-Order Colour Image Processing

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 457
Author(s):  
Manuel Henriques ◽  
Duarte Valério ◽  
Paulo Gordo ◽  
Rui Melicio
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Fractional Derivative ◽  
Fractional Order ◽  
Fractional Derivatives ◽  
Grey Scale ◽  
Colour Image ◽  
Colour Image Processing ◽  
Image Processing Algorithms ◽  
Processing Algorithms

Many image processing algorithms make use of derivatives. In such cases, fractional derivatives allow an extra degree of freedom, which can be used to obtain better results in applications such as edge detection. Published literature concentrates on grey-scale images; in this paper, algorithms of six fractional detectors for colour images are implemented, and their performance is illustrated. The algorithms are: Canny, Sobel, Roberts, Laplacian of Gaussian, CRONE, and fractional derivative.

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