Simulink Component Recognition Using Image Processing
Ramya R, Anand Kumar S, Krinish N K, Suraj V
Keywords: MATLAB, Median filter, K-means clustering algorithm
ABSTRACT: In early stages of engineering design, pen-and-paper sketches are often used to quickly convey concepts and ideas. Free-form drawing is often preferable to using computer interfaces due to its ease of use, fluidity and lack of constraints. The objective of this project is to create a trainable sketched Simulink component recognizer and classifying the individual Simulink components from the input block diagram. The recognized components will be placed on the new Simulink model window after which operations can be performed over them. Noise from the input image is removed by Median filter, the segmentation process is done by K-means clustering algorithm and recognition of individual Simulink components from the input block diagram is done by Euclidean distance. The project aims to devise an efficient way to segment a control system block diagram into individual components for recognition.
 Yuchi Liu and Yao Xiao, (2014) ‘Circuit Sketch Recognition’, Stanford University, Stanford, CA.
 Rajput G. G. and Mali S. M., (2010) ‘Marathi Handwritten Numeral Recognition using Fourier Descriptors and Normalized Chain Code’, IJCA, Special Issue on RTIPPR (3): 141–145.
 Scott D. Connell and Anil K. Jain, (1999) ‘Template-based online character recognition’
 Levent Burak Kara and Thomas F. Stahovich, ‘Hierarchical Parsing and Recognition of Hand-Sketched Diagrams’, University of California.
 Joaquim A.Jorge and Manuel J.Fonseca, ‘A Sample Approach to Recognise Geometric Shapes Interactively’, IST/UTL, Av.Rovisco Pais.
 Tracy Hammond and Randall Davis, ‘Automatically Transforming Symbolic Shape Descriptions for Use in Sketch Recognition’, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).
 Kevin Stolt, (2007) ‘Sketch Recognition for Course of Action Diagrams’, Massachusetts Institute of Technology.
 Gui-Huan Feng and Zheng-xing Sun, (2006) ‘Sketch Understanding Using LR Modeling’, Nanjing University.
 Howard Jay Siegel, Leah J. Siegel, Frederick C. Kemmerer, Philip T. Mueller, Jr., Harold E. Smalley, Jr. and S. Diane Smith, (1981) ‘PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition’, IEEE TRANSACTIONS ON COMPUTERS, VOL. c-30, NO. 12