An image processing method and apparatus
An image processing and image technology, applied in the field of image processing, can solve problems such as inability to analyze and process images, inability to analyze images in depth, etc., and achieve the effect of facilitating in-depth analysis, improving accuracy, and improving accuracy
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Example Embodiment
[0030] Example 1
[0031] Such as Figure 1-3 The shown image processing method specifically includes the following steps:
[0032] Step 1: Carry out image collection work, obtain representative image samples, and store the image samples in the storage firmware;
[0033] Step 2: Perform feature analysis on the collected images, determine whether there is interference between the color of the target and the color of the surrounding environment, whether the flatness affects the shooting effect and shape, and perform correction and registration;
[0034] Step 3: Perform grayscale processing on the original image to produce a grayscale matrix, reduce the calculation speed, median filter to remove noise, and remove the effects of color and lighting;
[0035] Step 4: Segment the image, and extract the characteristic parts of the edges and regions in the image;
[0036] Step 5. Extract and analyze the geometric features of the image;
[0037] Step 6: Count and output the analyzed data to obtain...
Example Embodiment
[0040] Example 2
[0041] An image processing method specifically includes the following steps:
[0042] Step 1: Carry out image collection work, obtain representative image samples, and store the image samples in the storage firmware;
[0043] Step 2: Perform feature analysis on the collected images, determine whether there is interference between the color of the target and the color of the surrounding environment, whether the flatness affects the shooting effect and shape, and perform correction and registration;
[0044] Step 3: Perform grayscale processing on the original image to produce a grayscale matrix, reduce the calculation speed, median filter to remove noise, and remove the effects of color and lighting;
[0045] Step 4: Segment the image, and extract the characteristic parts of the edges and regions in the image;
[0046] Step 5: Extract and analyze the geometric features and texture features of the image;
[0047] Step 6: Count and output the analyzed data to obtain the re...
Example Embodiment
[0050] Example 3
[0051] Such as Figure 4 The image processing device shown includes a microprocessor 1, which is characterized in that: the connecting end of the microprocessor 1 is provided with a display screen 2, a networking module 3, a reading unit, and an image processing unit 4;
[0052] The input end of the reading unit is provided with a storage device, and the connection end of the image processing unit 4 is provided with a functional unit 5, and the functional unit 5 includes an image conversion unit, an image segmentation unit, a contour analysis unit and a contour construction unit, The connecting end of the functional unit 5 is provided with an A / D conversion module.
[0053] The image conversion unit is used to perform grayscale processing on the image to produce a grayscale matrix to remove the effects of color and light. The image segmentation unit is used to segment the image and extract the characteristic parts of the edges and regions in the image. The contour...
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