CN103279923A - Partial image fusion processing method based on overlapped region - Google Patents
Partial image fusion processing method based on overlapped region Download PDFInfo
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Abstract
The invention provides a partial image fusion processing method based on an overlapped region. The overlapped region is registered, located and extracted and the overlapped region is processed correspondingly according to different fusion algorithms. According to the partial image fusion processing method based on the overlapped region, fusion processing of two images with overlapped parts is achieved, the universal fusion limit that a traditional fusion algorithm only can be used for whole images of the same size and complete registering is overcome, and the adaptability and the practicality of the fusion algorithm and relevant software are improved.
Description
Technical field
The present invention relates to image co-registration and application thereof, particularly based on topography's method for amalgamation processing of overlapping region.
Background technology
Image co-registration is the important branch that multi-sensor data merges.Image co-registration is that the multiple image that different sensors obtains is carried out overall treatment according to certain algorithm, to obtain an image new, that satisfy certain demand.
At present, widely used blending algorithm mainly contains simple blending algorithm, component is replaced algorithm, Brovey algorithm, high-pass filtering HPF (high-pass filtering) blending algorithm, multiple dimensioned multiresolution analysis blending algorithm etc.But the realization of existing overwhelming majority research and algorithm all is to carry out under certain precondition, and these preconditions comprise: the original image that 1) participates in fusion must be identical size and registration fully; 2) its fusion is that universe merges, and that is to say that the content that two width of cloth images comprise must be in full accord, and the zone of merging is the entire image zone; 3) for small echo blending algorithm and Contourlet blending algorithm, except above-mentioned condition, the picture size that also requires to participate in merging must be that N*N and N are necessary for 2 integer power.Applicable cases is inconsistent sometimes and truly for these preconditions, has therefore also just limited the applicability of Image Fusion and related software.
In actual applications, the image that participate in to merge (often also having translation, rotation and dimensional variation between image) different sizes, that do not have registration, the overlap image in zone only often.For fusion problem in this case, traditional method for amalgamation processing can't be finished corresponding processing at all, and existing literature and related data all do not have the positive corresponding solution that provides yet.
Summary of the invention
The purpose of this invention is to provide a kind of topography's method for amalgamation processing based on the overlapping region.The present invention positions, extracts the overlapping region by the image that reads in is carried out registration, and respective handling and fusion are carried out in the overlapping region, and non-overlapped image-region is carried out seamless spliced, has realized topography's fusion treatment of overlapping region.This invention can reach the better image treatment effect, improves adaptability and the practicality of blending algorithm.Its committed step is that registration, location and extraction are carried out in the overlapping region, and at different blending algorithms respective handling is carried out in the overlapping region.
Technical scheme of the present invention is that the topography's method for amalgamation processing based on the overlapping region is characterized in that: comprise the steps:
Step 101: beginning is based on topography's method for amalgamation processing of overlapping region;
Step 102: import two width of cloth overlap the zone image, be labeled as img1, img2;
Step 103: select registration Algorithm, obtain correlation parameter and process decision chart picture, and carry out respective handling;
Step 104: select blending algorithm, result and selected blending algorithm according to step 103 position, extract and handle the overlapping region, realize merging;
Step 105: carry out seamless spliced to non-overlapped image-region;
Step 106: finish the topography's method for amalgamation processing based on the overlapping region.
Described step 103 comprises the steps:
Step 201: begin to select registration Algorithm;
Step 202: respectively two width of cloth images that read in are carried out feature point extraction, its point set is labeled as P1, P2 respectively;
Step 203: the use characteristic descriptor carries out that the thick match point of unique point is right, and result queue is Q1, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_CD;
Step 204: Q1 is carried out RANSAC handle that to obtain smart match point right, result queue is Q2, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_JD;
Step 205: Q2 is carried out the transition matrix H that Least Square in Processing obtains two width of cloth image registrations, obtain translational movement parameter, scaling parameter and rotation parameter;
Step 206: according to the size of read in two width of cloth images and the transition matrix H that in step 204, obtains, obtain the size with the spliced minimum breadth of two width of cloth image co-registration, and create blackboard image PZ1, PZ1_PD, PZ1_CH and PZ2, PZ2_PD, the PZ2_CH that six width of cloth should size, and be initialized as complete 0.Side-play amount in the time of simultaneously can also obtaining being placed on img1 in this image is labeled as DX, DY;
Step 207: according to gained DX in the step 205, DY and transition matrix H are placed on img1, img2 respectively among image PZ1, PZ1_PD and PZ2, the PZ2_PD respectively, and PZ1_PD and PZ2_PD are handled;
Step 208: finish to select registration Algorithm.
Described step 207 comprises the steps:
Step 301: begin to place img1, img2 and PZ1_PD and PZ2_PD are handled;
Step 302: according to gained DX in the step 206, DY is placed on img1 respectively among image PZ1 and the PZ1_PD;
Step 303: PZ1_PD is scanned line by line, the value of depositing the corresponding region of img1 among the PZ1_PD all is arranged to 255, other local values all are set to 0;
Step 304: use DX respectively, DY goes to replace horizontal offset and the vertical offset among the transition matrix H of gained in step 205, obtains new transition matrix H_XIN;
Step 305: utilize the new matrix of gained that img2 is handled, and the img2 after the conversion is placed on respectively among PZ2 and the PZ2_PD;
Step 306: PZ2_PD is scanned line by line, the value of depositing the corresponding region of img2 among the PZ2_PD all is arranged to 255, other local values all are set to 0;
Step 307: end is placed img1, img2 and PZ1_PD and PZ2_PD is handled.
Described step 104 comprises the steps:
Step 401: begin to select blending algorithm;
Step 402: the PZ1 image is scanned line by line, if PZ1_PD and PZ2_PD are 255 simultaneously, then this position belongs to the overlapping region of image PZ1 and PZ2, and the pixel value of this position is existed on the correspondence position of image PZ1_CH.To image PZ2, carry out similar processing equally, its result is placed among the PZ2_CH;
Step 403: according to the different blending algorithm of selection image PZ1_CH and PZ2_CH are carried out corresponding pre-service, and make it finish fusion process, its result exists among the Fusion;
Step 404: finish to select blending algorithm.
Described step 403 comprises the steps:
Step 501: beginning is carried out pre-service and fusion according to different blending algorithms to image PZ1_CH and PZ2_CH;
Step 502: select different fusion methods, do not merge or the Contourlet fusion method if the fusion method of choosing is not small echo, directly carry out step 505, otherwise carry out step 503;
Step 503: judge that image PZ1_CH, PZ2_CH image size are that N*N and N are 2 integral number power.If not carry out step 504, otherwise carry out step 505;
Step 504: image PZ1_CH, PZ2_CH size are repaired, and its size is 2 integral number power greater than PZ1_CH, the peaked minimum of PZ2_CH image length and width.According to resulting up-to-date size, generate this big or small blackboard image PZ1_CH_XIN, PZ2_CH_XIN, and initial value is complete 0, and PZ1_CH, PZ2_CH are placed on PZ1_CH_XIN, the PZ2_CH_XIN from 00 position respectively;
Step 505: image PZ1_CH, PZ2_CH or the PZ1_CH_XIN that obtains from step 504, PZ2_CH_XIN to this moment, carry out fusion treatment, fusion results is labeled as Fusion;
Step 506: judge whether through big deseaming, if pass through step 504 before this, then also need carry out step 507, otherwise directly carry out 508;
Step 507: the image Fusion after merging is handled, only extract a size part identical with the PZ1_CH size since 00 position, assignment is given among the Fusion after big or small identical with PZ1_CH being corrected;
Step 508: finish according to different blending algorithms image PZ1_CH and PZ2_CH to be carried out pre-service and fusion.
Described step 105 comprises the steps:
Step 601: begin to carry out seamless spliced to non-overlapped image-region;
Step 602: the PZ1_PD image is scanned line by line, when pixel value equals 0 among the PZ1_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img2;
Step 603: the PZ2_PD image is scanned line by line, when pixel value equals 0 among the PZ2_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img1;
Step 604: finish to carry out seamless spliced to non-overlapped image-region.
Advantage of the present invention is: overcome traditional blending algorithm and can only be used for identical size, the fully universe of registration, the entire image restriction of merging, realized: 1) different sizes, do not have registration (often also having translation, rotation and dimensional variation between image), the overlap fusion treatment of image in zone only; 2) small echo and the Contourlet fusion treatment under overlapping region image irregular (size is not that N*N and N are not 2 the integer power) situation reached good fusion treatment effect; 3) to location, extraction and the fusion of overlapping region, seamless spliced to non-overlapped image-region.
The present invention has broken through the precondition of conventional method for amalgamation processing harshness, has reduced participating in the requirement of fused images, and good adaptability and practicality are arranged.
Description of drawings
Fig. 1 is based on the main flow chart of topography's method for amalgamation processing of overlapping region;
Fig. 2 selects registration Algorithm, obtains correlation parameter and process decision chart picture, and carries out the process flow diagram of respective handling;
The process flow diagram that Fig. 3 places img1, img2 and PZ1_PD and PZ2_PD are handled;
Fig. 4 selects blending algorithm, according to result and the selected blending algorithm of step 103, the overlapping region is judged, is extracted and handles, and realizes the process flow diagram that merges;
Fig. 5 carries out the process flow diagram of pre-service and fusion to image PZ1_CH and PZ2_CH according to different blending algorithms;
Fig. 6 carries out seamless spliced process flow diagram to non-overlapped image-region.
Embodiment
Based on topography's method for amalgamation processing of overlapping region, its committed step is that registration, location, extraction are carried out in the overlapping region, and at different blending algorithms respective handling is carried out in the overlapping region.The zone because two width of cloth images overlap so we must carry out registration to image earlier, obtains correlation parameter (translational movement, zooming parameter, rotation parameter etc.), then the overlapping region is positioned, extracts.But the overlapping region of extracting may be regular image, also may be the image of any size, arbitrary shape.In addition, some blending algorithm also has special requirement to the size of image, so we must carry out certain processing to overlapping area image, just can carry out the fusion of regional area.
Feature based on topography's method for amalgamation processing of overlapping region is: at first the overlap image in zone of two width of cloth that read in is carried out registration operation and obtains correlation parameter and the process decision chart picture, image behind registration carries out location, overlapping region, extraction and merges (should be noted that here: for some blending algorithm then, before fusion, also need overlapping area image is once handled), carry out seamless spliced by the process decision chart picture to non-overlapped image-region at last.So just finished to two width of cloth that read in overlap the zone image carry out topography's fusion treatment.
As shown in Figure 1.
The main flow chart steps characteristic is:
Step 101: beginning is based on topography's method for amalgamation processing of overlapping region;
Step 102: import two width of cloth overlap the zone image, be labeled as img1, img2;
Step 103: select registration Algorithm, obtain correlation parameter and process decision chart picture, and carry out respective handling;
Step 104: select blending algorithm, result and selected blending algorithm according to step 103 position, extract and handle the overlapping region, realize merging;
Step 105: carry out seamless spliced to non-overlapped image-region;
Step 106: finish the topography's method for amalgamation processing based on the overlapping region;
As shown in Figure 2,
Described step 103 comprises the steps:
Step 201: begin to select registration Algorithm;
Step 202: respectively two width of cloth images that read in are carried out feature point extraction, its point set is labeled as P1, P2 respectively;
Step 203: the use characteristic descriptor carries out that the thick match point of unique point is right, and result queue is Q1, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_CD;
Step 204: Q1 is carried out RANSAC handle that to obtain smart match point right, result queue is Q2, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_JD;
Step 205: Q2 is carried out the transition matrix H that Least Square in Processing obtains two width of cloth image registrations, obtain translational movement parameter, scaling parameter and rotation parameter;
Step 206: according to the size of read in two width of cloth images and the transition matrix H that in step 204, obtains, obtain the size with the spliced minimum breadth of two width of cloth image co-registration, and create blackboard image PZ1, PZ1_PD, PZ1_CH and PZ2, PZ2_PD, the PZ2_CH that six width of cloth should size, and be initialized as complete 0.Side-play amount in the time of simultaneously can also obtaining being placed on img1 in this image is labeled as DX, DY;
Step 207: according to gained DX in the step 205, DY and transition matrix H are placed on img1, img2 respectively among image PZ1, PZ1_PD and PZ2, the PZ2_PD respectively, and PZ1_PD and PZ2_PD are handled;
Step 208: finish to select registration Algorithm;
As shown in Figure 3,
Described step 207 comprises the steps:
Step 301: begin to place img1, img2 and PZ1_PD and PZ2_PD are handled;
Step 302: according to gained DX in the step 206, DY is placed on img1 respectively among image PZ1 and the PZ1_PD;
Step 303: PZ1_PD is scanned line by line, the value of depositing the corresponding region of img1 among the PZ1_PD all is arranged to 255, other local values all are set to 0;
Step 304: use DX respectively, DY goes to replace horizontal offset and the vertical offset among the transition matrix H of gained in step 205, obtains new transition matrix H_XIN;
Step 305: utilize the new img2 of transition matrix H_XIN of gained to handle, and the img2 after the conversion is placed on respectively among PZ2 and the PZ2_PD;
Step 306: PZ2_PD is scanned line by line, the value of depositing the corresponding region of img2 among the PZ2_PD all is arranged to 255, other local values all are set to 0;
Step 307: end is placed img1, img2 and PZ1_PD and PZ2_PD is handled;
As shown in Figure 4,
Described step 104 comprises the steps:
Step 401: begin to select blending algorithm;
Step 402: the PZ1 image is scanned line by line, if PZ1_PD and PZ2_PD are 255 simultaneously, then this position belongs to the overlapping region of image PZ1 and PZ2, and the pixel value of this position is existed on the correspondence position of image PZ1_CH.To image PZ2, carry out similar processing equally, its result is placed among the PZ2_CH;
Step 403: according to the different blending algorithm of selection image PZ1_CH and PZ2_CH are carried out corresponding pre-service, and make it finish fusion process, its result exists among the Fusion;
Step 404: finish to select blending algorithm;
As shown in Figure 5,
Described step 403 comprises the steps:
Step 501: beginning is carried out pre-service and fusion according to different blending algorithms to image PZ1_CH and PZ2_CH;
Step 502: select different fusion methods, do not merge or the Contourlet fusion method if the fusion method of choosing is not small echo, directly carry out step 505, otherwise carry out step 503;
Step 503: judge that image PZ1_CH, PZ2_CH image size are that N*N and N are 2 integral number power.If not carry out step 504, otherwise carry out step 505;
Step 504: image PZ1_CH, PZ2_CH size are repaired, and its size is 2 integral number power greater than PZ1_CH, the peaked minimum of PZ2_CH image length and width.According to resulting up-to-date size, generate this big or small blackboard image PZ1_CH_XIN, PZ2_CH_XIN, and initial value is complete 0, and PZ1_CH, PZ2_CH are placed on PZ1_CH_XIN, the PZ2_CH_XIN from 00 position respectively;
Step 505: image PZ1_CH, PZ2_CH or the PZ1_CH_XIN that obtains from step 504, PZ2_CH_XIN to this moment, carry out fusion treatment, fusion results is labeled as Fusion;
Step 506: judge whether through big deseaming, if pass through step 504 before this, then also need carry out step 507, otherwise directly carry out 508;
Step 507: the image Fusion after merging is handled, only extract a size part identical with the PZ1_CH size since 00 position, assignment is given among the Fusion after big or small identical with PZ1_CH being corrected;
Step 508: finish according to different blending algorithms image PZ1_CH and PZ2_CH to be carried out pre-service and fusion;
As shown in Figure 6,
Described step 105 comprises the steps:
Step 601: begin to carry out seamless spliced to non-overlapped image-region;
Step 602: the PZ1_PD image is scanned line by line, when pixel value equals 0 among the PZ1_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img2;
Step 603: the PZ2_PD image is scanned line by line, when pixel value equals 0 among the PZ2_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img1;
Step 604: finish to carry out seamless spliced to non-overlapped image-region;
The part that present embodiment is not described in detail belongs to the known conventional means of the industry, here not narration one by one.
Claims (6)
1. based on topography's method for amalgamation processing of overlapping region, it is characterized in that: comprise the steps:
Step 101: beginning is based on topography's method for amalgamation processing of overlapping region;
Step 102: import two width of cloth overlap the zone image, be labeled as img1, img2;
Step 103: select registration Algorithm, obtain correlation parameter and process decision chart picture, and carry out respective handling;
Step 104: select blending algorithm, result and selected blending algorithm according to step 103 position, extract and handle the overlapping region, realize merging;
Step 105: carry out seamless spliced to non-overlapped image-region;
Step 106: finish the topography's method for amalgamation processing based on the overlapping region.
2. the topography's method for amalgamation processing based on the overlapping region according to claim 1, it is characterized in that: described step 103 comprises the steps:
Step 201: begin to select registration Algorithm;
Step 202: respectively two width of cloth images that read in are carried out feature point extraction, its point set is labeled as P1, P2 respectively;
Step 203: the use characteristic descriptor carries out that the thick match point of unique point is right, and result queue is Q1, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_CD;
Step 204: Q1 is carried out RANSAC handle that to obtain smart match point right, result queue is Q2, and obtains the thick matching result synoptic diagram of image, is labeled as PZ_JD;
Step 205: Q2 is carried out the transition matrix H that Least Square in Processing obtains two width of cloth image registrations, obtain translational movement parameter, scaling parameter and rotation parameter;
Step 206: according to the size of read in two width of cloth images and the transition matrix H that in step 204, obtains, obtain the size with the spliced minimum breadth of two width of cloth image co-registration, and create blackboard image PZ1, PZ1_PD, PZ1_CH and PZ2, PZ2_PD, the PZ2_CH that six width of cloth should size, and be initialized as complete 0; Side-play amount in the time of simultaneously can also obtaining being placed on img1 in this image is labeled as DX, DY;
Step 207: according to gained DX in the step 205, DY and transition matrix H are placed on img1, img2 respectively among image PZ1, PZ1_PD and PZ2, the PZ2_PD respectively, and PZ1_PD and PZ2_PD are handled;
Step 208: finish to select registration Algorithm.
3. the topography's method for amalgamation processing based on the overlapping region according to claim 2, it is characterized in that: described step 207 comprises the steps:
Step 301: begin to place img1, img2 and PZ1_PD and PZ2_PD are handled;
Step 302: according to gained DX in the step 206, DY is placed on img1 respectively among image PZ1 and the PZ1_PD;
Step 303: PZ1_PD is scanned line by line, the value of depositing the corresponding region of img1 among the PZ1_PD all is arranged to 255, other local values all are set to 0;
Step 304: use DX respectively, DY goes to replace horizontal offset and the vertical offset among the transition matrix H of gained in step 205, obtains new transition matrix H_XIN;
Step 305: utilize the new matrix of gained that img2 is handled, and the img2 after the conversion is placed on respectively among PZ2 and the PZ2_PD;
Step 306: PZ2_PD is scanned line by line, the value of depositing the corresponding region of img2 among the PZ2_PD all is arranged to 255, other local values all are set to 0;
Step 307: end is placed img1, img2 and PZ1_PD and PZ2_PD is handled.
4. the topography's method for amalgamation processing based on the overlapping region according to claim 1, it is characterized in that: described step 104 comprises the steps:
Step 401: begin to select blending algorithm;
Step 402: the PZ1 image is scanned line by line, if PZ1_PD and PZ2_PD are 255 simultaneously, then this position belongs to the overlapping region of image PZ1 and PZ2, and the pixel value of this position is existed on the correspondence position of image PZ1_CH;
To image PZ2, carry out similar processing equally, its result is placed among the PZ2_CH;
Step 403: according to the different blending algorithm of selection image PZ1_CH and PZ2_CH are carried out corresponding pre-service, and make it finish fusion process, its result exists among the Fusion;
Step 404: finish to select blending algorithm.
5. the topography's method for amalgamation processing based on the overlapping region according to claim 4, it is characterized in that: described step 403 comprises the steps:
Step 501: beginning is carried out pre-service and fusion according to different blending algorithms to image PZ1_CH and PZ2_CH;
Step 502: select different fusion methods, do not merge or the Contourlet fusion method if the fusion method of choosing is not small echo, directly carry out step 505, otherwise carry out step 503;
Step 503: judge that image PZ1_CH, PZ2_CH image size are that N*N and N are 2 integral number power;
If not carry out step 504, otherwise carry out step 505;
Step 504: image PZ1_CH, PZ2_CH size are repaired, and its size is 2 integral number power greater than PZ1_CH, the peaked minimum of PZ2_CH image length and width;
According to resulting up-to-date size, generate this big or small blackboard image PZ1_CH_XIN, PZ2_CH_XIN, and initial value is complete 0, and PZ1_CH, PZ2_CH are placed on PZ1_CH_XIN, the PZ2_CH_XIN from 00 position respectively;
Step 505: image PZ1_CH, PZ2_CH or the PZ1_CH_XIN that obtains from step 504, PZ2_CH_XIN to this moment, carry out fusion treatment, fusion results is labeled as Fusion;
Step 506: judge whether through big deseaming, if pass through step 504 before this, then also need carry out step 507, otherwise directly carry out 508;
Step 507: the image Fusion after merging is handled, only extract a size part identical with the PZ1_CH size since 00 position, assignment is given among the Fusion after big or small identical with PZ1_CH being corrected;
Step 508: finish according to different blending algorithms image PZ1_CH and PZ2_CH to be carried out pre-service and fusion.
6. the topography's method for amalgamation processing based on the overlapping region according to claim 1, it is characterized in that: described step 105 comprises the steps:
Step 601: begin to carry out seamless spliced to non-overlapped image-region;
Step 602: the PZ1_PD image is scanned line by line, when pixel value equals 0 among the PZ1_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img2;
Step 603: the PZ2_PD image is scanned line by line, when pixel value equals 0 among the PZ2_PD, remove to replace the pixel value of same position among the Fusion with the pixel value of this position among the img1;
Step 604: finish to carry out seamless spliced to non-overlapped image-region.
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