Image processing method and device
An image processing and image technology, which is applied in the field of image processing, can solve problems such as difficult to support users in 3D real-color modeling, poor user interaction effects, etc.
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Embodiment 1
[0109] refer to figure 1 As shown, in Embodiment 1 of the present invention, the specific flow of the image processing method is as follows:
[0110] Step 100: Acquire the image data of the user collected by the endoscope; wherein, the image data at least includes image data captured by the camera unit in the endoscope, and the type of the image data is a depth image; the The collected image data of the user indicates that splicing has not been performed.
[0111] Wherein, the endoscope is, for example, an oral cavity endoscope, and an imaging unit is arranged in the endoscope for taking images. One imaging unit or a plurality of imaging units may be arranged in the endoscope, and The type of image data obtained is a depth image, that is, an RGBD image, which is a three-dimensional true-color image, so that the three-dimensional information of the image can be obtained to facilitate subsequent three-dimensional image processing.
[0112] Preferably, the oral endoscope in the...
Embodiment 2
[0196] Based on the above examples, see image 3 As shown, in Embodiment 2 of the present invention, the specific flow of the updating method of the cloud server is as follows:
[0197] Step 300: Receive an update request sent by the terminal, wherein the update request includes at least: the user's three-dimensional image model, the number information of the recorded block whose mapping relationship with the spliced image data block has been determined, and the spliced image data block. Part or all of the image data blocks in the subsequent image data blocks except the image data blocks whose mapping relationship with the blocks in the saved 3D image frame database have been determined.
[0198] Wherein, the three-dimensional image frame database stores the image data of the blocks divided into the three-dimensional image frame image and the position information of the image of each block; the image data of the block includes: serial number information, image feature info...
Embodiment 3
[0209] Based on the above examples, see Figure 4 As shown, in Embodiment 3 of the present invention, the specific flow of the image processing method is as follows:
[0210] Step 400: Acquire the image data of the user collected by the endoscope; wherein, the image data at least includes image data captured by the camera unit in the endoscope, and the type of the image data is a depth image; the The collected image data of the user indicates that splicing has not been performed.
[0211] Step 410: Splicing the image data and the image data and the saved image data block to obtain a spliced image data block, wherein the image data block includes at least one image data.
[0212] Further, before step 410 is performed, the method further includes: determining that the number of the image data is greater than a preset threshold.
[0213] In this way, the splicing and subsequent processing are performed only when the number of image data acquired accumulatively reaches a certa...
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