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Pynamic image sequence partitioning method

A dynamic image and sequence technology, applied in the field of image processing, can solve problems such as the lack of effective information, the inability to explain the linear similarity of A and B time intensity curves, and the neglect of original image features, etc.

Inactive Publication Date: 2004-12-22
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

But this technology has the following two disadvantages: (1) The calculation result of the linear correlation coefficient can be used to measure the linear similarity of two curves, but when the calculation result of the correlation coefficient is extremely small, for example, the time intensity of A and B is calculated The results of the linear correlation coefficients obtained from the curve and the reference curve are all small, indicating that the linear similarity between the A and B time-intensity curves and the reference curve is low, but it cannot explain that the linear similarity between the A and B time-intensity curves is high
This difference is ignored in the resulting image of the method
(2) The resulting image comprehensively reflects the time-intensity curve characteristics of the dynamic image sequence, but ignores the original image characteristics of the dynamic image sequence, resulting in the lack of effective information

Method used

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Embodiment Construction

[0022] The following examples are provided in conjunction with the specific content of the method of the present invention:

[0023] The vascular perfusion image sequence acquired by the nuclear magnetic resonance equipment is a kind of dynamic image sequence. The time-intensity curve of the pixel points in the vascular perfusion image sequence (ie, the vascular perfusion curve) reflects the vascular perfusion function of the corresponding physiological position. In practical application, the doctor determines the physiological characteristics of the position by selecting the physiological position and observing the change of the vascular perfusion curve of the corresponding position; but at present, there is a lack of comprehensive and automatic reflection and integration of all vascular perfusion curve characteristics and vascular perfusion sequence image grayscale features Methods. The present invention can be applied to such occasions.

[0024] The case image of vascular...

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Abstract

The invention relates to a dynamic video sequence separating method: determining the boundaries of a processed object to obtain a template differentiating the processed object from the image background; cutting the backgrounds of all the images in the dynamic sequence, avoiding the interference of background factors; constructing the gradation average value sequences of all the pixel points in a processed object region into a reference time-strength curve; using linear correlation coefficients to construct a synthetic characteristic image of the dynamic sequence; separating the synthetic characteristic image to obtain separated images; selecting the interesting regions from the separated images; filling every partition in the interesting regions with the first image gradation information of the dynamic sequence, then separating an image in the partition to obtain fined resultants of separation in the partition; splicing the fined resultants to obtain a final image. It fully uses effective information in the dynamic video sequence, thus implementing the purpose of accurately separating the dynamic video sequence.

Description

technical field [0001] The invention relates to a method for segmenting a dynamic image sequence, in particular to a method for segmenting a dynamic image sequence by using a linear correlation coefficient. It belongs to the field of image processing. technical background [0002] A dynamic image sequence refers to a sequence of images that are continuously collected for a period of time and at different times for the same functional location, such as the dynamic enhancement sequence and vascular perfusion sequence acquired by nuclear magnetic resonance equipment. The dynamic image sequence reflects the image changes of the processing object within a time period. The basic unit of the dynamic sequence is the time intensity change curve formed by the gray value of each pixel at different times. Therefore, the segmentation of dynamic image sequences is different from the segmentation of ordinary images. The final segmentation result of the dynamic image sequence should not ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李明禄梅炯蔡宣松赵永强洪锋
Owner SHANGHAI JIAO TONG UNIV
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