A Characteristic Representation Method of Footprint Pressure Distribution

Abstract

The invention discloses a footprint pressure distribution characteristic representation method which comprises the steps of (S1) using a footprint sampling instrument to collect footprint pressure image information, and preprocessing a footprint pressure image, (S2) extracting footprint front foot and back foot pressure distribution characteristics and constructing a footprint pressure distribution characteristic map, (S3) projecting front foot and back foot pressure distribution characteristic maps along direction, finding a direction with a maximum projection value (pressure value) as a main direction, and carrying out pressure distribution characteristic map main direction standardization, and (S4) carrying out characteristic selection on the obtained footprint pressure distribution characteristics. According to the method, the extracted footprint pressure distribution characteristics can represent the distribution characteristics of foot pressure when a human body is walking, the distribution between a footprint of barefoot and a footprint with socks is not needed, and the applicability is wide.

Description

technical field [0001] The invention relates to the technical field of image processing and biological feature recognition, in particular to a method for expressing footprint pressure distribution features. Background technique [0002] At present, the feature representation of footprints is mainly divided into three categories: geometric shape features, pressure shape features and texture features. Geometric morphological features are to establish a unified footprint image coordinate system and perform geometric measurements to measure foot length, palm width, heel width, and the edge from the heel to each toe, and the center of the heel to the center of each toe. The morphological characteristics of footprint pressure mainly include the interaction force information between the sole and the ground and the distribution information of the sole pressure. The main methods are as follows: 1) Use the plantar pressure distribution information to construct the average, maximum, a...

AI Technical Summary

Problems solved by technology

Footprint features are usually represented by foot shape features, such as foot length, foot width, and heel width, which are difficult to extract accurately

Due to the long-term use of the acquisition equipment, the footprint pressure image is easily affected by fixed noise such as dust and random noise. It is difficult to reduce the noise level of the pressure image while retaining the information carried by the pressure image to the maximum extent.

Footprint images carry a lot of information, and there are high-dimensional and small samples, which makes it difficult to achieve accurate and efficient identification in the whole process

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