Image processing based foot plantar pressure distribution analysis and modeling

Abstract

<span lang="EN-GB">Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this research proposes a measurement-based method which adopts the reference measured parameters such as; the weight of a subject, contact-area size, age, and the pressure level distribution over a plantar image captured by the EMED plantar pressure system. The proposed analysis and algorithm were verified by a group 79 volunteers through data collection with four various measurement conditions. Three mathematical modelling equations have been proposed that describe the relationships between the foot plantar pressure levels and the subject’s body mass, foot size, and age. The modelling of foot plantar pressure could be useful for various applications such as gait analysis, hospitals, clinics, custom shoe making, and early detection of ulceration in the case of diabetic patients.</span>

Feature extraction to predict quality of segregating sweet tamarind using image processing

“…This research investigates the feature extraction method that provides the correctness value of the dataset [26], [27] but the improve of previous research were to enhanced algorithm of classification techniques and feature extraction of texture of objects. This was done by utilizing the image processing and using data classification from the research of [9], [28]- [30] with feature extraction method and used to create criteria for sweet tamarind quality classification by image processing method. Calculating the area of an image in pixels and comparing the algorithm performance to classify data by defining the extraction interval method using sum and variance of mean number of pixels can be used to sort sweet tamarind grades and quality.…”