Target seed searching method based on dynamic sliding window

A dynamic sliding window and search method technology, applied in the field of target seed search, can solve the problems of limited ability to exclude non-seed windows, fast growth of redundant values ​​of sliding windows, etc.

Inactive Publication Date: 2017-05-10
ZHEJIANG UNIV
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for searching target seeds based on a dynamic sliding window, so as to solve the problem that the redundant value of the sliding window increases too fast and the ability to exclude the non-seed window is limited

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  • Target seed searching method based on dynamic sliding window
  • Target seed searching method based on dynamic sliding window
  • Target seed searching method based on dynamic sliding window

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Embodiment Construction

[0027] In order to make it easier for those skilled in the art to understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 As shown, the present embodiment provides a method for searching for a target seed based on a dynamic sliding window, comprising the following steps:

[0029] A1: Extract the target feature histogram based on the training set;

[0030] A2: Extract horizontal large search window image features;

[0031] A3: Extract the image features of the vertical small search window;

[0032] A4: Calculate the joint matching similarity of vertical search small window features;

[0033] A5: Use the sliding model to calculate the sliding step p of the search window, and update the current vertical window position v to v+p; return to step A3 until the small vertical search window reaches the lower edge of the image;

[...

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Abstract

The invention discloses a target seed searching method based on a dynamic sliding window. The method comprises steps: in a pre-processing stage, a training set target feature histogram is extracted as a seed matching basis; in the case of seed searching, the feature matching similarities of current horizontal large window and vertical small window images are calculated respectively; a vertical small searching window stage is entered, and based on a sliding model, the sliding step of the vertical small searching window is determined; when the small searching window arrives at the lower edge of the image, a horizontal large window searching state is entered; the horizontal large searching window calculates the image feature matching similarity firstly; based on a sliding model, the sliding step of the large window is determined until the large window arrives at the right edge of the image; and when the horizontal searching window and the vertical searching window arrive at the right edge and the lower edge at the same time, searching is ended, and a result is outputted. The problem that a cumulative similarity equation commonly used in the sliding window has an over quick redundancy value growth rate and the no-seed window exclusion ability is limited can be overcome, and the efficiency of using the sliding window for target seed searching is greatly improved.

Description

technical field [0001] The invention relates to the field of target seed search methods, in particular to a dynamic sliding window target seed search method. Background technique [0002] Object segmentation using seed growing method is an important method in image segmentation. Designing an efficient seed search method can greatly improve the speed and accuracy of object segmentation, which is of great significance for the practical application of object segmentation. There are generally two solutions to this problem: one is the manual marking method widely used in interactive segmentation, that is, manually interactively delineate the segmentation range or specify the location of the seed; the other is to automatically search through feature detection. The seed needed to split the target. In order to improve the automation degree of object segmentation, the present invention proposes an object seed sub-search based on a dynamic sliding window. [0003] In many practical...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06V10/758
Inventor 姚劲草于慧敏
Owner ZHEJIANG UNIV
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