scispace - formally typeset
S

Su Zhifang

Researcher at Central South University

Publications -  12
Citations -  58

Su Zhifang is an academic researcher from Central South University. The author has contributed to research in topics: Feature (computer vision) & Pixel. The author has an hindex of 4, co-authored 12 publications receiving 55 citations.

Papers
More filters
Patent

Oral diagnosis and treatment decision support system and decision method

TL;DR: In this paper, an oral diagnosis and treatment decision support system consisting of case storage module, case library construction module, a case extraction module and a case multiplexing module is presented.
Patent

Embedded type system and method for checking books being placed on shelf disorderly based on DSP

TL;DR: In this paper, an embedded type system and method for checking books being placed on a shelf disorderly based on a DSP is presented, which is composed of a data acquisition module, an image processing module, a wireless communication module and a checking module based on library automation system ILASIII.
Proceedings ArticleDOI

Novel SIVR epidemic spreading model with virus variation in complex networks

TL;DR: This model extends the classical Susceptible-Infectious-Recovery epidemic spreading model with considering variation affection of two different virus in the process of epidemic spreading, and plays an important role in preventing and controlling the spreading of variable virus.
Patent

Embedded high-definition video acquisition and data stream transmission system

TL;DR: In this paper, an embedded high-definition video acquisition and data stream transmission system based on a Samsung S5P6818 core board is presented, where an OV5640 camera integrated board card is adopted to acquire highdefinition image data, a multimedia hardware codec integrated in the core board was adopted to carry out compressed encoding on the image, an algorithm processing algorithm is used to extract image features, and a real-time video and a feature parameter data stream are published in a local area network through a streaming media server built on the board.
Patent

Mineral flotation froth image texture analysis and working condition identification method based on Minkowski distance

TL;DR: In this paper, a mineral flotation froth image texture analysis and working condition identification method based on the Minkowski distance is proposed, which can be used for real-time monitoring of the texture feature extraction, the classification identification and the flotation process working condition of the mineral froth images.