The numbers of pixel in U field after 20 pixels were moved in the X direction were significantly different between the old control subject and the SEDT-PA patient (0. 101 ± 0. 022 vs 0. 220 ± 0. 053, P = 0. 023).
老年对照和SEDT-PA患者的软骨标本在沿X方向拉伸移动20个像素点的U方向位移场像素点差异有显著意义(0.101±0.022 vs 0.220±0.053,P=0.023);
In this paper, we will carry out the error analysis of improved Fourier algorithm for solving Radon transform. We prove that the improved Fourier algorithm is convergence under L2 norm with a convergence rater of O(1/q), Where 2q is the order of picture element matrix.
Image various kinds of concept and application MATLAB of algorithm that edge measure compare in different illumination treatment of picture under the terms to actual gear wheel, obtain the single picture element image with required experiment finally.
As for as measuring the shape of the surface of phase type grating is concerned,we,using the least square method to fit quandric curves,remove the influence on the precision of measurement from the errors in quantitating the size of image element of CCD and the image gathering cards in CCD optic interference measurement and increase the location precision of interference bands to more than one order.
In order to compute two-dimensional Diserete Cosine Transforr-DCT more efficient, in this paper, we present a fast method which work directly to two-dimensional data collections, and we analyze the character of the method, we realize Discrete Cosine Transform and inverse Discrete Cosine Transform of 8×8 digital image element square's using computer simulate. And we analyze the imageable simulate result.
From the D-S(Dempster-Shafer)evidential theory for image element level data fusion to the Analytic Hierar-chy Process general evaluation method for decision making level data fusion,it provides a new so-lution for multi-factor substation locating.
This article introduces a method of finding margin directly using central image element and peripheral image elements in 3×3 small matrix and then respectively compares the margin of central and peripheral image elements with threshold value.
The fringe series on each image element of the whole field is measured,the experiment data of the whole field is then fitted to a two-dimension smooth curved face by using least-squares procedure and the two-dimension density distribution on the whole field of the grating is gained.
The coarse grain H?lder exponent of the image pixels is first computed.
A real-time image-tracking algorithm is proposed, which gives small weights to pixels farther from the object center and uses the quantized image gray scales as a template.
A CCD matrix of dimensions 1024 × 1024 pixels is the photodetector.
The algorithm proposed in this study allows identification of parasitic peaks in a series of experimental spectra, which are recorded for each pixel of the CCD detector independently of other pixels, and removal of these peaks.
(iv) The lenses are suitable for resistless heavy-ion projection lithography and can provide 20 × 1011 pixels of area 2 × 2 nm2 for an exposed area of 3 × 3 mm2.
Combining transport measurements with relaxation-time information allows the discrimination of transport processes in different environments or of different fluids, even within a single picture element in an image of the porous biosystem under study.
Intra-voxel dephasing can be estimated by computing the field distribution on a sub-grid inside each picture element, followed by integration of all magnetization components.
The measurement involves the edge enhancement of input images, the reading of the intensities of each pixel (picture element), and the determinations of the outline of a specimen and the distribution of diameter changes.
A picture element or pixel is formed by Y, U, V sample values.
A pixel is the contraction of the words picture element.
The optimal sampling of the light intensity distribution in the visual environment is achieved only if each channel in the visual pathways carries undistorted information corresponding to an image element.
We experimentally designed and fabricated an 9x9 multiple image element, and results show that the element can realize the multiple images we require and the intensity of each image is the same.
This model consists of building a cost function on the basis of image element interactions.
A pixel represents the smallest, indivisible image element in a two-dimensional system.
Each element of this matrix array is called an image element, picture element or pixel as was stated above.