CN103500439A - Image printing method based on image processing technology - Google Patents
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- 239000011159 matrix material Substances 0.000 claims description 56
- 238000010009 beating Methods 0.000 claims description 21
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Abstract
The invention discloses an image printing method based on the image processing technology. The image printing method specifically comprises the following steps that first, preprocessing is conducted on an original image; second, contour extraction is conducted on the image preprocessed in the first step; third, the image on which the contour extraction is conducted is compressed; fourth, the compressed image obtained in the third step is printed to a drawing board through a point printing device, and therefore printing and drawing of the original image are achieved. Various image processing technologies are integrated, the image is collected, processed and analyzed, and the processed image is printed out on the drawing board through the point printing device. The image printing method based on the image processing technology can effectively extract the outline of the image. Compared with manual image carving, the image printing method based on the image processing technology greatly shortens time, improves efficiency, achieves liberation of labor, achieves image information collection, processing and analysis, and solves the problem that an existing manual image printing method is low in efficiency.
Description
Technical field
The invention belongs to image and process and the automatic control technology field, relate to a kind of drawing method of beating based on image processing techniques.
Background technology
On slabstone, portraying is one of traditional culture of Chinese Typical Representative, and the stone inscription line drawing is exactly typical representative, from Han dynasty, engenders on the record of events inscribed on a tablet, lintel, the stone base of column etc.But along with social development, the continuous progress of science and technology, from the appearance of global First printer in 1885, printed matter starts worldwide to spread to rapidly various aspects.Although printed matter has occupied major part aspect decoration, but flagstone picture still occupies one seat at ornament as a kind of artwork, and along with the raising of living standard and spiritual level, the mankind more and more like having the ornament of artistry, generally, artificial flagstone picture needs manpower to complete, so not only consuming time but also consume power, work efficiency is low, is unfavorable for liberating manpower.
Summary of the invention
The purpose of this invention is to provide a kind of drawing method of beating based on image processing techniques, to solve the existing inefficient problem of drawing method of manually beating.
The technical solution used in the present invention is, the drawing method of beating based on image processing techniques is specifically implemented according to following steps,
Step 1, carry out pre-service to original image;
Step 2, to carrying out the profile extraction through the pretreated image of step 1;
Step 3, compressed the image after step 2 profile extracts;
Step 4, the compression figure that will obtain through step 3 by device for dotting gets on drawing board, completes the picture of beating to original image.
Characteristics of the present invention also are,
The concrete grammar of step 1 is, at first original image carried out to the gray processing processing, obtains gray level image; Again gray level image is carried out to the filtering processing with the final value wave filter; Finally filtered image is carried out to the histogram equalization processing, completed the pre-service of original image.
The concrete grammar of step 2 is to calculate the gradient map through the pretreated image of step 1; The distance function image of compute gradient figure again; Then calculate external constraint and the internal constraint of distance function image, obtain the constraints graph picture; Again to constraint Image Reconstruction gradient map; Finally, by watershed algorithm, the gradient map after reconstruct is cut apart, obtained black white binarization figure, the profile completed pretreated image extracts.
In step 3, the concrete grammar of compression of images is,
3.1) length and the wide size of establishing the binary image obtained through step 2 be respectively m and n, long and wide size compression factor is respectively m1 and n1, p is the length of side that will play the drawing board of picture, according to m1=[m/ (p/2)]+1 and n1=[n/ (p/2)]+1, calculate long and wide size compression factor;
3.2) establish the compression minor matrix size be z * z, if m1 > n1, z is m1; If m1<n1, z is n1; By the calculating of m/z and n/z, obtain respectively remainder e and f, this binary image is dismissed respectively to the capable and f of e row, obtain image after cutting;
3.3) calculate respectively s and t by s=(m-e)/z and t=(n-f)/z, by step 3.2) after the cutting that obtains image to be divided into wide be s, length is the matrix of t, this entry of a matrix element is divided into the minor matrix of z * z again;
3.4) if the sum of all pixels that in minor matrix, pixel value is 0 is greater than the sum of all pixels that pixel value is 1, this minor matrix is made as to 0, if the sum of all pixels that in minor matrix, pixel value is 0 is less than the sum of all pixels that pixel value is 1, this minor matrix is made as to 1, the new matrix finally formed is compressed image.
The concrete grammar of playing picture in step 4 is, the compressed image after step 3 is processed is lined by line scan, if the pixel value of minor matrix is 1, this place, minor matrix position is not got ready; If the pixel value of minor matrix is 0,, at place, this minor matrix position, by device for dotting, on drawing board, get ready, until all minor matrixs scanning and get ready completely complete the picture of beating of original image.
The invention has the beneficial effects as follows, integrate multiple image processing techniques, by the collection to picture, processing and analysis, the image after processing is up on drawing board by device for dotting; The method can be extracted the profile of image effectively, and portrays than manpower, has greatly shortened the time, has improved efficiency, has liberated manpower, realizes the collection to image information, processes and analyzes, and has solved the existing inefficient problem of drawing method of manually beating.
Embodiment
Below in conjunction with embodiment, the present invention is described in detail.
The invention provides a kind of drawing method of beating based on image processing techniques, specifically implement according to following steps,
Step 1, carry out pre-service to original image
At first original image is carried out to the gray processing processing and obtain gray level image, original image comprises colour picture and string diagram, and the image after gray processing contains a large amount of salt-pepper noises usually, and noise is less; So again gray level image is carried out to the filtering processing with the final value wave filter of 3 * 3 templates; In order to strengthen the feature of destination object, finally filtered image is carried out to the histogram equalization processing, completed the pre-service of original image.
To the original image pre-service, because image can be subject to unavoidably destruction and various noise pollution to a certain degree in transmission and storing process, cause picture to lose essence or departed from people's demand, thereby the impact that just needs a series of pretreatment operation to come removal of images to be subject to.
From experiment, the brightness value between [0.2,0.8] in image is mapped between [0,1], the image after histogram equalization can obtain effect preferably; Difference due to intensity of illumination, cause the feature of picture internal object object not obvious, be unfavorable for image is carried out to the profile extraction, in order to extract more like clockwork the profile of destination object, therefore need to carry out the normalization processing to picture, improve the feature caused due to reasons such as illumination not obvious.
Step 2, to carrying out the profile extraction through the pretreated image of step 1
Calculating is through the gradient map of the pretreated image of step 1; The distance function image of compute gradient figure again; Then calculate external constraint and the internal constraint of distance function image, obtain the constraints graph picture; Again to constraint Image Reconstruction gradient map; Finally, by watershed algorithm, the gradient map after reconstruct is cut apart, obtained black white binarization figure, the profile completed pretreated image extracts.
The purpose of carrying out the profile extraction is exactly with minimum pixel description object, therefore image is carried out to the profile extraction just seems extremely important, image outline extracts its essence and exactly image is carried out to rim detection, edge detection operator commonly used comprises the Roberts operator, Sobel operator, Prewitt operator, Canny operator etc., usually very responsive to noise while utilizing these operators to calculate, and easily lose marginal information, so the present invention's selection is watershed algorithm.
Step 3, compressed the image after step 2 profile extracts
3.1) length and the wide size of establishing the binary image obtained through step 2 be respectively m pixel and n pixel, long and wide size compression factor is respectively m1 and n1, the length of side that p is the drawing board that will play picture, and the unit of p is millimeter; According to m1=[m/ (p/2)]+1 and n1=[n/ (p/2)]+1, calculate long and wide size compression factor;
3.2) establish the compression minor matrix size be z * z, if m1 > n1, z is m1; If m1<n1, z is n1; By the calculating of m/z and n/z, obtain respectively remainder e and f, this binary image is dismissed respectively to the capable pixel of e and f row pixel, obtain image after cutting;
In order to make after compression of images the size that does not produce distortion and compressed images be no more than the relative size of playing picture machine drawing board, so the size of subdivision matrix is chosen the length and width of number larger in m1 and n1 as subdivision matrix,
3.3) calculate respectively s and t by s=(m-e)/z and t=(n-f)/z, by step 3.2) after the cutting that obtains image to be divided into wide be s pixel, length is the matrix of t pixel, this entry of a matrix element is divided into the minor matrix of z * z again;
In order to be divided into the image that will print the matrix of integral multiple, therefore need to be to length and wide adjustment of print image, calculate remainder e and f by m/z and n/z, e and f are respectively number of lines of pixels and the pixel columns that will dismiss the print image matrix, because e and f are less than z, therefore can not affect the whole content of image.
3.4) if the sum of all pixels that in minor matrix, pixel value is 0 is greater than the sum of all pixels that pixel value is 1, this minor matrix is made as to 0, if the sum of all pixels that in minor matrix, pixel value is 0 is less than the sum of all pixels that pixel value is 1, this minor matrix is made as to 1, the new matrix finally formed is compressed image.
Step 4, by device for dotting, the compression figure that will obtain through step 3 gets on drawing board, completes the picture of beating to original image.
The concrete grammar of playing picture is,
Compressed image after step 3 is processed is lined by line scan, if the pixel value of minor matrix is 1, this place, minor matrix position is not got ready; If the pixel value of minor matrix is 0,, at place, this minor matrix position, by device for dotting, on drawing board, get ready, until all minor matrixs scanning and get ready completely complete the picture of beating of original image.
Embodiment
Step 1, at first carry out gray processing to a colour picture that is of a size of 420 pixels * 406 pixels and process and obtain its gray level image; Again gray level image is carried out to the filtering processing with the final value wave filter of 3 * 3 templates; Finally filtered image is carried out to the histogram equalization processing, completed the pre-service of original image.
Step 2, calculate the gradient map through the pretreated image of step 1; The distance function image of compute gradient figure again; Then calculate external constraint and the internal constraint of distance function image, obtain the constraints graph picture; Again to constraint Image Reconstruction gradient map; Finally, by watershed algorithm, the gradient map after reconstruct is cut apart, obtained black white binarization figure, the profile completed pretreated image extracts.
Step 3, compressed the image after step 2 profile extracts
3.1) length and the wide size of the binary image that obtains through step 2 be respectively 420 pixels and 406 pixels, the length of side of drawing board is 350mm, long compression factor for and wide size compression factor be 3;
3.2) size of establishing the compression minor matrix is z * z, z=3, e=0, f=1, dismiss 1 row by this binary image, obtains image after cutting;
3.3) after cutting image to be divided into wide be 140 pixels, the matrix that length is 135 pixels, this entry of a matrix element is divided into the minor matrix of 3*3 again;
3.4) if the sum of all pixels that in minor matrix, pixel value is 0 is greater than the sum of all pixels that pixel value is 1, this minor matrix is made as to 0, if the sum of all pixels that in minor matrix, pixel value is 0 is less than the sum of all pixels that pixel value is 1, this minor matrix is made as to 1, the new matrix finally formed is compressed image.
Step 4, lined by line scan to the compressed image after step 3 is processed, if the pixel value of minor matrix is 1, this place, minor matrix position is not got ready; If the pixel value of minor matrix is 0,, at place, this minor matrix position, by device for dotting, on drawing board, get ready, until all minor matrixs scanning and get ready completely complete the picture of beating of original image.
The drawing method of beating based on image processing techniques, integrate multiple image processing techniques, by the collection to picture, processing and analysis, the image after processing printed on drawing board by device for dotting; The method can be extracted the profile of image effectively, and portrays than manpower, has greatly shortened the time, has improved efficiency, has liberated manpower, realizes the collection to image information, processes and analyzes, and has solved the existing inefficient problem of drawing method of manually beating.
Claims (5)
1. the drawing method of beating based on image processing techniques, is characterized in that, specifically according to following steps, implement,
Step 1, carry out pre-service to original image;
Step 2, to carrying out the profile extraction through the pretreated image of step 1;
Step 3, compressed the image after step 2 profile extracts;
Step 4, the compression figure that will obtain through step 3 by device for dotting gets on drawing board, completes the picture of beating to original image.
2. the drawing method of beating based on image processing techniques as claimed in claim 1, is characterized in that, the concrete grammar of described step 1 is,
At first original image is carried out to the gray processing processing, obtain gray level image; Again gray level image is carried out to the filtering processing with the final value wave filter; Finally filtered image is carried out to the histogram equalization processing, completed the pre-service of original image.
3. the drawing method of beating based on image processing techniques as claimed in claim 1 or 2, is characterized in that, the concrete grammar of described step 2 is,
Calculating is through the gradient map of the pretreated image of step 1; The distance function image of compute gradient figure again; Then calculate external constraint and the internal constraint of distance function image, obtain the constraints graph picture; Again to constraint Image Reconstruction gradient map; Finally, by watershed algorithm, the gradient map after reconstruct is cut apart, obtained black white binarization figure, the profile completed pretreated image extracts.
4. the drawing method of beating based on image processing techniques as claimed in claim 3, is characterized in that, in described step 3, the concrete grammar of compression of images is,
3.1) length and the wide size of establishing the binary image obtained through step 2 be respectively m pixel and n pixel, long and wide size compression factor is respectively m1 and n1, p is the length of side that will play the drawing board of picture, according to m1=[m/ (p/2)]+1 and n1=[n/ (p/2)]+1, calculate long and wide size compression factor;
3.2) establish the compression minor matrix size be z * z, if m1 > n1, z is m1; If m1<n1, z is n1; By the calculating of m/z and n/z, obtain respectively remainder e and f, this binary image is dismissed respectively to the capable pixel of e and f row pixel, obtain image after cutting;
3.3) calculate respectively s and t by s=(m-e)/z and t=(n-f)/z, by step 3.2) after the cutting that obtains image to be divided into wide be s pixel, length is the matrix of t pixel, this entry of a matrix element is divided into the minor matrix of z * z again;
3.4) if the sum of all pixels that in minor matrix, pixel value is 0 is greater than the sum of all pixels that pixel value is 1, this minor matrix is made as to 0, if the sum of all pixels that in minor matrix, pixel value is 0 is less than the sum of all pixels that pixel value is 1, this minor matrix is made as to 1, the new matrix finally formed is compressed image.
5. the drawing method of beating based on image processing techniques as claimed in claim 4, is characterized in that, the concrete grammar of playing picture in described step 4 is,
Compressed image after step 3 is processed is lined by line scan, if the pixel value of minor matrix is 1, this place, minor matrix position is not got ready; If the pixel value of minor matrix is 0,, at place, this minor matrix position, by device for dotting, on drawing board, get ready, until all minor matrixs scanning and get ready completely complete the picture of beating of original image.
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| CN109175718A (en) * | 2018-11-01 | 2019-01-11 | 重庆大学产业技术研究院 | A kind of picture laser carving method based on halftone technique |
| CN112634309A (en) * | 2020-11-30 | 2021-04-09 | 上海联影医疗科技股份有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105491120A (en) * | 2015-12-01 | 2016-04-13 | 小米科技有限责任公司 | Method and device for picture transfer |
| CN105718945A (en) * | 2016-01-20 | 2016-06-29 | 江苏大学 | Apple picking robot night image identification method based on watershed and nerve network |
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| CN109175718A (en) * | 2018-11-01 | 2019-01-11 | 重庆大学产业技术研究院 | A kind of picture laser carving method based on halftone technique |
| CN112634309A (en) * | 2020-11-30 | 2021-04-09 | 上海联影医疗科技股份有限公司 | Image processing method, image processing device, electronic equipment and storage medium |
| CN112634309B (en) * | 2020-11-30 | 2023-08-15 | 上海联影医疗科技股份有限公司 | Image processing method, device, electronic equipment and storage medium |
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