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A method for finding a house based on intelligent image analysis

A technology of intelligent image and floor plan, which is applied in the field of Fangku.com, can solve the problems of difficulty in unifying the selection criteria of buyers with diversified data, increase the difficulty of house selection, and take a long time, so as to achieve accurate selection range, convenient comparison and display, and convenient Selected effect

Active Publication Date: 2020-01-31
我要家网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of buying and selling houses, buyers attach great importance to the specific conditions of the house, which makes house selection a meticulous and time-consuming matter, and due to the diversification of data from intermediaries and sellers and the difficulty in unifying the selection criteria of buyers The situation further increases the difficulty of housing selection

Method used

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  • A method for finding a house based on intelligent image analysis
  • A method for finding a house based on intelligent image analysis
  • A method for finding a house based on intelligent image analysis

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Experimental program
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Embodiment 1

[0053] In this embodiment, step S5 specifically includes the following steps:

[0054] S51. Establish a screening sub-library corresponding to each ideal house type diagram, and set priorities for each screening sub-library according to each ideal house type diagram.

[0055] S52. First, the ideal floor plan corresponding to the highest priority is used as the selection object.

[0056] S53 . From the screening master library, select the house type diagram whose similarity with the selected object reaches a preset similarity threshold and transfer it to the screening sub-library corresponding to the selected object.

[0057] S54. According to the order of priority from high to low, the selected objects are updated sequentially, and then step S53 is repeated to clear the screening parent library.

[0058]In this way, in this embodiment, the process of filling the screening sub-library is also the process of reducing the screening mother library, so that the same house type dia...

Embodiment 2

[0061] In this embodiment, in step S1, it also includes: establishing a house source database for storing each house source information, and each house source information includes a house type map; in step S2, extracting the house type map from the house source information and storing it in the house type In the image library, in the house type image library, houses with the same house type map are associated with the same house type map. In this way, redundant and repeated house type diagrams in the house type image library are avoided.

[0062] In step S6 of this embodiment, it is also included that according to the selected floor plan, the information of each house corresponding to the floor plan is retrieved from the house source database for display. In this way, the user can be provided with most houses conforming to the floor plan for selection, which is conducive to increasing the choice of the user and improving the service quality.

Embodiment 3

[0064] In step S5 of this embodiment, according to the image analysis, the house type diagrams in the main library whose similarity with the ideal house type diagram reaches the preset similarity threshold are stored in the corresponding screening sub-library.

[0065] In this embodiment, step S4 specifically includes the following steps:

[0066] S41. Display the house type diagrams in the screened parent database, and select multiple inclined house type diagrams to form a tendency library.

[0067] S42. Establishing an ideal gallery.

[0068] S43. Randomly select a preferred floor plan from the tendency gallery as the ideal floor plan and transfer it to the ideal gallery.

[0069] S44. According to the image analysis, obtain the similarities between the remaining inclined floor plans in the trend gallery and the ideal floor plans, and delete the inclined floor plans in the trend gallery whose similarity with the ideal floor plans reaches the similarity threshold.

[0070] ...

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Abstract

The invention discloses a floor plan house-finding method based on intelligent image analysis. The method comprises the following steps: S2, establishing a house image database, storing the house image in the house image database, and identifying and screening features for each house image; S3, selecting screening features to form screening conditions, and selecting a household type diagram from ahousehold type image library to form a screening parent library according to that screening condition; S4, displaying the house type diagram in the screening parent library, and selecting at least one ideal house type diagram from the screening parent library. In the present disclosure, the selection tone of the house type diagram is set through the ideal house type diagram, which is favorable for directional selection and display in the big data of the house type diagram, and narrows down and accurately selects the range. Similarly, through the division of the screening sub-library, it is conducive to classify and summarize the household chart, so as to facilitate the comparative display of the household chart, to improve the display effect, and to facilitate users to select the household chart.

Description

technical field [0001] The disclosure relates to the technical field of Fangku network, in particular to a method for finding a house based on an intelligent image analysis. Background technique [0002] In the process of buying and selling houses, buyers attach great importance to the specific conditions of the house, which makes house selection a meticulous and time-consuming matter, and because the data of intermediaries and sellers are diverse and the selection criteria of buyers are difficult to unify The situation further increases the difficulty of housing selection. Contents of the invention [0003] Based on the technical problems existing in the background technology, the present disclosure proposes a house-finding method based on intelligent image analysis. [0004] A method for finding a house based on an intelligent image analysis proposed by the present disclosure includes the following steps: [0005] S1, setting screening features; [0006] S2. Establish...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/58G06F16/583G06F16/51
Inventor 熊兵刚
Owner 我要家网络科技有限公司