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FPGA-based CAANY algorithm threshold value obtaining method and device
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An acquisition method and technology of an acquisition device, which are applied in the field of FPGA-based CANNY algorithm threshold acquisition, can solve the problems of large storage and calculation amount, difficulty in FPGA, inability to meet video processing requirements, etc., and achieve the effect of rapid acquisition, taking into account speed and accuracy
Active Publication Date: 2018-02-23
FORYOU GENERAL ELECTRONICS
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However, in the key threshold calculation, due to the need to process the entire image data, the amount of storage and calculation is huge, and FPGA is difficult to adapt to. Therefore, in the prior art, the acquisition of CANNY algorithm threshold is obtained by PC or AMR processor operation. , and then passed to the FPGA
This method is slow, can only adapt to static images, and cannot meet the processing requirements of video
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Embodiment 1
[0034] Such as figure 1 As shown, the present embodiment provides a FPGA-based CANNY algorithm threshold acquisition method, including:
[0035] Pre-step: Grayscale the original video frame, perform Gaussian filtering on the grayscaled video frame, and calculate the gradient magnitude of the grayscaled video frame.
[0036] These steps are prior art and will not be repeated here.
[0037] The gradient magnitude in the step of calculating the gradient magnitude of the grayscaled video frame is used as the gradient input of the method.
[0038] Step 1. Calculate the gradient maximum value and average value of the video frame to be processed.
[0039] In this embodiment, the maximum value of the gradient is found through the comparator, and the average value of the gradient is calculated through the accumulator and the divider.
[0040] For example, in this embodiment, the gradient maximum value G max =169, gradient average G av =44.
[0041] Step 2. Determine the segmentat...
Embodiment 2
[0062] Such as image 3 As shown, the present embodiment provides a FPGA-based CANNY algorithm threshold acquisition device, including a gradient input module, a gradient processing module, a pixel processing module, and a system threshold calculation module;
[0063] The gradient input module is used to input the video gradient information calculated by the system;
[0064] The gradient processing module is used to process the input video gradient information to generate a gradient interval;
[0065] The pixel processing module is used to process the pixels in each gradient interval to obtain the number of pixels with the largest jump;
[0066] The system threshold calculation module is configured to determine the system threshold according to the number of pixels with the largest jump obtained by the pixel processing module.
[0067] In this embodiment, the gradient processing module includes: a gradient average calculation unit for calculating the gradient average calcula...
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Abstract
The invention provides an FPGA-based CAANY algorithm threshold value obtaining method and a device. The method comprises the steps of calculating a gradient maximum value and an average value of a to-be-processed video frame; determining a segmentation step size and a segmentation total number and obtaining gradient intervals; counting pixel numbers in all gradient intervals; comparing the whetherthe difference amplitude of the pixel numbers of adjacent gradient intervals exceeds a preset amplitude or not, and marking a smaller pixel number of two adjacent gradient intervals as a suspected threshold pixel number; obtaining a pixel number largest in jumping change from all suspected threshold pixel numbers; calculating the threshold value of the system according to the pixel number largestin jumping change; and conducting the edge detection by utilizing the final threshold value. According to the method, the threshold value of the CANNY algorithm can be quickly obtained.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to an FPGA-based method and device for acquiring a CANNY algorithm threshold. Background technique [0002] In image processing technology, the edge of an image refers to the part where the brightness of the local area of the image changes significantly. The gray profile of this area can generally be regarded as a step, that is, a sharp change from a gray value in a small buffer area. to another grayscale value with a large difference in grayscale. The edge part of the image concentrates most of the information of the image. The determination and extraction of the image edge is very important for the recognition and understanding of the entire image scene. measurement, detection and localization. [0003] Canny edge detection algorithm is an edge detection algorithm based on image gradient calculation developed by John F.Canny in 1986. It is a standard algorithm for edg...
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