CN113040984B - Intelligent leg part regional construction system and method - Google Patents
Intelligent leg part regional construction system and method Download PDFInfo
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- CN113040984B CN113040984B CN202011315363.6A CN202011315363A CN113040984B CN 113040984 B CN113040984 B CN 113040984B CN 202011315363 A CN202011315363 A CN 202011315363A CN 113040984 B CN113040984 B CN 113040984B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/50—Prostheses not implantable in the body
- A61F2/60—Artificial legs or feet or parts thereof
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/50—Prostheses not implantable in the body
- A61F2/5044—Designing or manufacturing processes
- A61F2/5046—Designing or manufacturing processes for designing or making customized prostheses, e.g. using templates, finite-element analysis or CAD-CAM techniques
Abstract
The invention relates to an intelligent leg part area construction system, comprising: a partition construction mechanism for constructing a leg prosthesis portion of the calf or thigh region based on the area and shape of the received first or second imaged sub-pattern; the leg extraction mechanism is used for extracting an imaging pattern only comprising a complete leg from the signal restoration image based on the leg skin imaging characteristics; and the limb analysis device is used for identifying a first imaging sub-pattern forming the leg lower-leg area and a second imaging sub-pattern forming the leg upper-leg area based on the change trend of the geometric shape of the imaging pattern. The invention also relates to an intelligent leg part area construction method. The intelligent leg part area construction system and the method thereof are intelligent in design and convenient to operate. The method can adaptively perform the regional manufacturing of the thighs and the shanks of the artificial leg based on the division point of the thighs and the shanks of the complete legs of the human body, so that the intelligent level of the manufacturing of the artificial leg is improved.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to an intelligent leg part area construction system and method.
Background
Intelligent control is the process by which an intelligent machine autonomously achieves its goals. A smart machine is defined as a machine that performs human-defined tasks, either autonomously or interactively with a human, in a structured or unstructured, familiar or unfamiliar environment. Intelligent control is automatic control which can autonomously drive an intelligent machine to achieve the target of the intelligent machine without human intervention, and is also an important field for simulating human intelligence by a computer. The intelligent control is based on the subjects of control theory, computer science, artificial intelligence, operation research and the like, relevant theories and technologies are expanded, wherein the theories of fuzzy logic, neural networks, expert systems, genetic algorithms and the like, and the technologies of self-adaptive control, self-organization control, self-learning control and the like are applied.
For example, the genetic algorithm is used as a non-deterministic nature-simulated random optimization tool, has the characteristics of parallel computation, quick search of a global optimal solution and the like, can be mixed with other technologies for optimal control of intelligently controlled parameters, structures or environments, and can be used for the optimal control of the parameters, the structures or the environments. The neural network is a self-adaptive control method which utilizes a large number of neurons and performs learning and adjustment according to a certain topological structure. The method can show rich characteristics, and specifically comprises parallel computing, distributed storage, variable structure, high fault tolerance, nonlinear operation, self organization, learning or self learning. These characteristics are long sought and desired system characteristics. The neural network has unique capability in the aspects of controlling parameters, structures or environments of intelligent control, such as self-adaptation, self-organization and self-learning. The related technology of intelligent control is combined with the control mode or combined in a comprehensive and crossed way to form an intelligent control system and an intelligent controller with different styles and functions, which is also a main characteristic of the intelligent control technology method.
The main goal of intelligent control research is no longer the controlled object, but the controller itself. The controller is not a single mathematical model analytical type, but a generalized model combining mathematical analysis and a knowledge system, and is a control system combining multiple disciplinary knowledge. The intelligent control theory is to establish the characteristic pattern recognition of the controlled dynamic process and control based on the reasoning of knowledge and experience and intelligent decision. A good intelligent controller has the characteristics of multiple modes, variable structures, variable parameters and the like, and can change the structure of the controller and adjust the parameters according to the control mode of the controlled dynamic process characteristic identification, learning and organization.
Disclosure of Invention
In order to solve the related technical problems in the prior art, the invention provides an intelligent leg part region construction system and method, which can adaptively execute the regional manufacture of thighs and shanks of a leg prosthesis based on the division point of thighs and shanks of the complete legs of a human body, thereby improving the intelligent level of leg prosthesis manufacture.
For this reason, the present invention needs to have at least the following important points:
(1) confirming the boundary point of the thigh and the shank of the missing leg of the human body based on the boundary point of the thigh and the shank of the complete leg of the human body;
(2) the construction of the artificial leg of the human thigh and the human calf, respectively, is performed adaptively based on the result of the confirmation of the thigh and calf boundary points of the human missing leg.
According to an aspect of the present invention, there is provided an intelligent leg part area construction system, the system including:
a partition construction mechanism connected with the limb analysis device and used for constructing the leg prosthesis part of the lower leg area based on the area and the shape of the received first imaging sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the miniature camera shooting mechanism is arranged opposite to the disabled and used for carrying out camera shooting operation on the complete leg of the disabled to obtain a corresponding current camera shooting image, and the disabled is a human body with a defective leg and a complete leg;
the distortion processing equipment is connected with the miniature camera shooting mechanism and used for executing distortion correction processing on the received image so as to obtain and output a corresponding distortion processing image;
the adaptive enhancement device is connected with the distortion processing device and used for determining the times of executing the SVD enhancement processing on the received image based on the maximum noise amplitude value in the received distortion processing image so as to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude value in the received distortion processing image is, the more times of executing the SVD enhancement processing on the received image is determined;
the point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple point image restoration processing on the received self-adaptive enhancement image to obtain and output a corresponding signal restoration image;
the leg extraction mechanism is connected with the point image restoration device and used for extracting an imaging pattern only comprising the complete leg from the signal restoration image based on leg skin imaging characteristics;
the limb analysis device is connected with the leg extraction mechanism and used for identifying a first imaging sub-pattern forming a leg lower leg area and a second imaging sub-pattern forming a leg upper leg area based on the variation trend of the geometric shape of the imaging pattern;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: and taking a turning position of which the first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern.
According to another aspect of the invention, there is also provided an intelligent leg section area construction method, the method comprising:
using a partition construction mechanism, connected to the limb analysis device, for constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the method comprises the steps that a miniature camera shooting mechanism is used and arranged opposite to a disabled person, and is used for carrying out camera shooting operation on the complete leg of the disabled person to obtain a corresponding current camera shooting image, wherein the disabled person is a human body with a defective leg and a complete leg;
using a distortion processing device connected to the miniature camera shooting mechanism for executing distortion correction processing on the received image to obtain and output a corresponding distortion processed image;
using an adaptive enhancement device, connected to the distortion processing device, for deciding the number of times of performing image SVD enhancement processing on the received image based on the maximum noise amplitude in the received distortion-processed image to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude in the received distortion-processed image is, the more the number of times of performing image SVD enhancement processing on the received image is decided;
the using point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple times of point image restoration processing on the received self-adaptive enhancement image so as to obtain and output a corresponding signal restoration image;
using a leg extraction mechanism connected to the point image restoration device for extracting an imaging pattern including only the complete leg from the signal restoration image based on leg skin imaging characteristics;
using a limb analysis device, connected with the leg extraction mechanism, for identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: and taking a turning position of which the first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern.
The intelligent leg part area construction system and the method thereof are intelligent in design and convenient to operate. The method can adaptively perform the regional manufacturing of the thighs and the shanks of the artificial leg based on the division point of the thighs and the shanks of the complete legs of the human body, so that the intelligent level of the manufacturing of the artificial leg is improved.
Detailed Description
Embodiments of the intelligent leg zone construction system and method of the present invention will be described in detail below.
The artificial leg provides the walking recovery power for the disabled, but the passive artificial leg products which can be perfectly combined with the amputee body and can freely walk in the market are usually very expensive, and some of the passive artificial leg products are even implanted with a microchip and a sensor to implement AI auxiliary cooperative motion and are inevitably more expensive.
The artificial leg is a bionic knee joint of artificial leg used in artificial limb of lower limb, including the movable joint, the shank joint of the movable joint underside, the artificial leg of the movable joint upside is connected with mounting sleeve of the residual limb, make the improvement, the movable joint is by a unidirectional cylindrical bearing, pass unidirectional cylindrical bearing inner race and axle lever that the inner race is fixed mutually, surround the U-shaped of the unidirectional cylindrical bearing outer race and embrace the locking fork, lie in locking fork opening both sides, one end articulates on the yoke of one side of unidirectional bearing rotation direction, one end extends to two crossbars or diaphragm outside another yoke, pass two crossbars or diaphragm free ends and locking fork outside inclined plane sliding contact's yoke tip or use the crossbar as the small-scale cylindrical bearing of axle to form, the shank mount pad links two crossbars or diaphragm into an entirety.
At present, when a human body lacking a leg part on one side selects to use the artificial leg to facilitate daily travel of the user, the structure of the artificial leg needs to be the same as the structure of the complete leg part on the other side as much as possible, and most importantly, the position of a boundary point of a thigh and a shank needs to be the same, so that the manufactured artificial leg can perfectly match the walking rhythm and the walking function of the leg.
In order to overcome the defects, the invention builds an intelligent leg part area construction system and method, and can effectively solve the corresponding technical problems.
An intelligent leg section area construction system is shown according to an embodiment of the invention comprising:
a partition construction mechanism connected with the limb analysis device and used for constructing the leg prosthesis part of the lower leg area based on the area and the shape of the received first imaging sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the miniature camera shooting mechanism is arranged opposite to the disabled and used for carrying out camera shooting operation on the complete leg of the disabled to obtain a corresponding current camera shooting image, and the disabled is a human body with a defective leg and a complete leg;
the distortion processing equipment is connected with the miniature camera shooting mechanism and used for executing distortion correction processing on the received image so as to obtain and output a corresponding distortion processing image;
the adaptive enhancement device is connected with the distortion processing device and used for determining the times of executing the SVD enhancement processing on the received image based on the maximum noise amplitude value in the received distortion processing image so as to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude value in the received distortion processing image is, the more times of executing the SVD enhancement processing on the received image is determined;
the point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple point image restoration processing on the received self-adaptive enhancement image to obtain and output a corresponding signal restoration image;
the leg extraction mechanism is connected with the point image restoration device and used for extracting an imaging pattern only comprising the complete leg from the signal restoration image based on leg skin imaging characteristics;
the limb analysis device is connected with the leg extraction mechanism and used for identifying a first imaging sub-pattern forming a leg lower leg area and a second imaging sub-pattern forming a leg upper leg area based on the variation trend of the geometric shape of the imaging pattern;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: and taking a turning position of which the first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern.
Next, the detailed construction of the intelligent leg section area construction system of the present invention will be further explained.
In the intelligent leg section area construction system:
identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns further comprises: and taking the part above the boundary position on the imaging pattern as a second imaging sub-pattern.
In the intelligent leg section area construction system:
the lengthwise direction along the imaging pattern is a direction proceeding from a minimum radial radius toward a maximum radial radius along the length of the imaging pattern.
In the intelligent leg section area construction system:
constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern comprises: the area of the received first imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed calf region, which has the same shape as the received first imaged sub-pattern.
In the intelligent leg section area construction system:
constructing a leg prosthesis portion of the thigh region based on the area and shape of the received second imaged sub-pattern comprises: the area of the received second imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed thigh region, which has the same shape as the received second imaged sub-pattern.
An intelligent leg section area construction method shown according to an embodiment of the invention includes:
using a partition construction mechanism, connected to the limb analysis device, for constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the method comprises the steps that a miniature camera shooting mechanism is used and arranged opposite to a disabled person, and is used for carrying out camera shooting operation on the complete leg of the disabled person to obtain a corresponding current camera shooting image, wherein the disabled person is a human body with a defective leg and a complete leg;
using a distortion processing device connected to the miniature camera shooting mechanism for executing distortion correction processing on the received image to obtain and output a corresponding distortion processed image;
using an adaptive enhancement device, connected to the distortion processing device, for deciding the number of times of performing image SVD enhancement processing on the received image based on the maximum noise amplitude in the received distortion-processed image to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude in the received distortion-processed image is, the more the number of times of performing image SVD enhancement processing on the received image is decided;
the using point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple times of point image restoration processing on the received self-adaptive enhancement image so as to obtain and output a corresponding signal restoration image;
using a leg extraction mechanism connected to the point image restoration device for extracting an imaging pattern including only the complete leg from the signal restoration image based on leg skin imaging characteristics;
using a limb analysis device, connected with the leg extraction mechanism, for identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: and taking a turning position of which the first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern.
Next, the detailed steps of the intelligent leg part region construction method of the present invention will be further described.
In the intelligent leg part area construction method:
identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns further comprises: and taking the part above the boundary position on the imaging pattern as a second imaging sub-pattern.
In the intelligent leg part area construction method:
the lengthwise direction along the imaging pattern is a direction proceeding from a minimum radial radius toward a maximum radial radius along the length of the imaging pattern.
In the intelligent leg part area construction method:
constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern comprises: the area of the received first imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed calf region, which has the same shape as the received first imaged sub-pattern.
In the intelligent leg part area construction method:
constructing a leg prosthesis portion of the thigh region based on the area and shape of the received second imaged sub-pattern comprises: the area of the received second imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed thigh region, which has the same shape as the received second imaged sub-pattern.
The micro imaging mechanism may incorporate a CMOS image sensor. A CMOS image sensor is a typical solid-state imaging sensor, and has a common historical source with CCDs. The CMOS image sensor generally comprises an image sensor cell array, a row driver, a column driver, a timing control logic, an AD converter, a data bus output interface, a control interface, etc., which are usually integrated on the same silicon chip. The working process can be generally divided into a reset part, a photoelectric conversion part, an integration part and a reading part. Other digital signal processing circuits such as an AD converter, automatic exposure control, non-uniform compensation, white balance processing, black level control, gamma correction, etc. may be integrated on the CMOS image sensor chip, and even a DSP device having a programmable function may be integrated with the CMOS device for fast calculation, thereby forming a single-chip digital camera and an image processing system.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. An intelligent leg section area construction system, the system comprising:
a partition construction mechanism connected with the limb analysis device and used for constructing the leg prosthesis part of the lower leg area based on the area and the shape of the received first imaging sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the miniature camera shooting mechanism is arranged opposite to the disabled and used for carrying out camera shooting operation on the complete leg of the disabled to obtain a corresponding current camera shooting image, and the disabled is a human body with a defective leg and a complete leg;
the distortion processing equipment is connected with the miniature camera shooting mechanism and used for executing distortion correction processing on the received image so as to obtain and output a corresponding distortion processing image;
the adaptive enhancement device is connected with the distortion processing device and used for determining the times of executing the SVD enhancement processing on the received image based on the maximum noise amplitude value in the received distortion processing image so as to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude value in the received distortion processing image is, the more times of executing the SVD enhancement processing on the received image is determined;
the point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple point image restoration processing on the received self-adaptive enhancement image to obtain and output a corresponding signal restoration image;
the leg extraction mechanism is connected with the point image restoration device and used for extracting an imaging pattern only comprising the complete leg from the signal restoration image based on leg skin imaging characteristics;
the limb analysis device is connected with the leg extraction mechanism and used for identifying a first imaging sub-pattern forming a leg lower leg area and a second imaging sub-pattern forming a leg upper leg area based on the variation trend of the geometric shape of the imaging pattern;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: taking a turning position at which a first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern;
identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns further comprises: taking a part above the boundary position on the imaging pattern as a second imaging sub-pattern;
the lengthwise direction along the imaging pattern is a direction proceeding from a minimum radial radius toward a maximum radial radius along the length of the imaging pattern.
2. The intelligent leg section area construction system of claim 1, wherein:
constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern comprises: the area of the received first imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed calf region, which has the same shape as the received first imaged sub-pattern.
3. An intelligent leg section area construction system as claimed in claim 2, wherein:
constructing a leg prosthesis portion of the thigh region based on the area and shape of the received second imaged sub-pattern comprises: the area of the received second imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed thigh region, which has the same shape as the received second imaged sub-pattern.
4. An intelligent leg part area construction method, characterized by comprising:
using a partition construction mechanism, connected to the limb analysis device, for constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern;
the partition construction mechanism is also used for constructing a leg prosthesis part of a thigh area based on the area and the shape of the received second imaging sub-pattern;
the method comprises the steps that a miniature camera shooting mechanism is used and arranged opposite to a disabled person, and is used for carrying out camera shooting operation on the complete leg of the disabled person to obtain a corresponding current camera shooting image, wherein the disabled person is a human body with a defective leg and a complete leg;
using a distortion processing device connected to the miniature camera shooting mechanism for executing distortion correction processing on the received image to obtain and output a corresponding distortion processed image;
using an adaptive enhancement device, connected to the distortion processing device, for deciding the number of times of performing image SVD enhancement processing on the received image based on the maximum noise amplitude in the received distortion-processed image to obtain and output a corresponding adaptive enhanced image, wherein the larger the maximum noise amplitude in the received distortion-processed image is, the more the number of times of performing image SVD enhancement processing on the received image is decided;
the using point image restoration device is connected with the self-adaptive enhancement device and is used for performing single or multiple times of point image restoration processing on the received self-adaptive enhancement image so as to obtain and output a corresponding signal restoration image;
using a leg extraction mechanism connected to the point image restoration device for extracting an imaging pattern including only the complete leg from the signal restoration image based on leg skin imaging characteristics;
using a limb analysis device, connected with the leg extraction mechanism, for identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns;
wherein identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns comprises: taking a turning position at which a first radial radius turns from large to small to large along the length direction of the imaging pattern as a boundary position of a leg calf region and a leg thigh region, and taking a part below the boundary position on the imaging pattern as a first imaging sub-pattern;
identifying a first imaging sub-pattern constituting a leg calf region and a second imaging sub-pattern constituting a leg thigh region based on a trend of change in geometry of the imaging patterns further comprises: taking a part above the boundary position on the imaging pattern as a second imaging sub-pattern;
the lengthwise direction along the imaging pattern is a direction proceeding from a minimum radial radius toward a maximum radial radius along the length of the imaging pattern.
5. The intelligent leg part area construction method according to claim 4, wherein:
constructing a leg prosthesis portion of the calf region based on the area and shape of the received first imaged sub-pattern comprises: the area of the received first imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed calf region, which has the same shape as the received first imaged sub-pattern.
6. An intelligent leg section area construction method as claimed in claim 5, wherein:
constructing a leg prosthesis portion of the thigh region based on the area and shape of the received second imaged sub-pattern comprises: the area of the received second imaged sub-pattern is proportional to the volume of the leg prosthesis portion of the constructed thigh region, which has the same shape as the received second imaged sub-pattern.
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| 基于Kinect的个性化三维人体模型重建;吴义山;《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅰ辑》;20170115;正文第1-60页 * |
| 基于局部SVD的深度图像增强算法;冯策，等;《中国电子科学研究院学报》;20180831;第465-470页 * |
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