A Blocking Method of Electromagnetic Image Based on Morphological Method and Meanshift Algorithm
A technology based on morphology and image segmentation, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of low image resolution, difficulty in comprehensive detection, and difficulty in clearly distinguishing interference sources.
Active Publication Date: 2020-03-10
BEIHANG UNIV
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[0002] At present, there are many shortcomings in the detection methods of electromagnetic interference sources, such as slow detection speed and difficulty in comprehensive detection, etc. However, the method of electromagnetic imaging using parabolic reflectors can quickly and accurately detect the location of interference sources
Electromagnetic imaging research is currently mainly concentrated in the field of passive millimeter-wave imaging. Due to factors such as antenna size and diffraction limitations, the resolution of the resulting image is not high. Related super-resolution algorithms for improving resolution have become a research hotspot.
For the detection and imaging of electromagnetic interference sources, compared with millimeter-wave imaging, the wavelength is longer, and the diffraction limitation is more serious, and the formed image contains point spread functions of various interference sources. How to improve its resolution so that the interference sources can Clearly distinguishing has become a new difficulty
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[0027] The method will be further described in detail below with reference to the drawings and embodiments.
[0028] Such as figure 1 As shown, the present invention aims at the problem of different frequency radiation sources in the same electromagnetic imaging image, and proposes a broadband electromagnetic image segmentation algorithm that uses a combination of morphology and MeanShift clustering algorithm. Filter the image after taking the logarithm, filter out the high-frequency noise of the image, thereby reducing the brightness range, and then take the index of the image to restore the electromagnetic power image.
[0029] Step 1. Obtain a degraded image of an unknown radiation source, perform a logarithmic operation on the image, and convert the image into a form of addition of illuminance and reflection.
[0030] That is, the image f(x,y) can be expressed as the product of two parts: illuminance i(x,y) and reflection r(x,y):
[0031] f(x,y)=i(x,y)r(x,y)
[0032] Th...
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The present invention is an electromagnetic image segmentation method based on the morphological method and the Meanshift algorithm. The present invention first performs homomorphic filtering on the image to suppress noise, and then uses the morphological method to process the image, thereby making the image easier to perform Mean Shift clustering and segmentation , and then calculate the image roughness and pixel value average shift as the threshold parameters of the clustering algorithm. Next, perform MS segmentation, and judge whether the segmented image is the same signal area, and merge the same signal area. The method is verified by simulation and experiment, and the results show that the method can efficiently and accurately perform image noise suppression and segmentation on multi-region and multi-frequency electromagnetic images.
Description
technical field [0001] The invention relates to a noise suppression and partition image recovery algorithm for multi-region multi-frequency electromagnetic radiation source imaging, and specifically relates to the fields of electromagnetic detection and image processing. Background technique [0002] At present, there are many shortcomings in the detection methods of electromagnetic interference sources, such as slow detection speed and difficulty in comprehensive detection, etc. However, the method of electromagnetic imaging using parabolic reflectors can quickly and accurately detect the location of interference sources. Electromagnetic imaging research is currently mainly concentrated in the field of passive millimeter-wave imaging. Due to factors such as antenna size and diffraction limitations, the resolution of the resulting image is not high. Related super-resolution algorithms for improving resolution have become a research hotspot. For the detection and imaging of e...
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IPC IPC(8): G06T5/00G06T7/11G06T7/60G06K9/62G06T7/13G06T7/168G06T5/30
CPCG06T5/30G06T7/60G06T2207/20036G06T2207/20021G06F18/23G06T5/70
Inventor 谢树果李雁雯郝旭春李圆圆
Owner BEIHANG UNIV