Abstract:
This project titled “Image Processing Based Fabric Detection”. The purpose of this project
is to detect fabric. Lack of knowledge about fabric can cause people to have lower quality
or wrong type of fabric. Image processing is very complex but we are making progress in
this sector. Many difficult problems are being solved by image processing. The utility of image processing in today’s world is vastly accepted and used. Object or type detection is
a very important part in image processing. In this research we have developed a method
that can detect two of the most common types of fabrics – Cotton and Polyester using the
available methods of classical image processing. A simple image takes from the smart
phone can tell them the right type of fabric with high accuracy. Our method is trained with
many images. The method uses decision tree based feature selection method to find important features of an image out of large feature space and SVM to classify image with
the knowledge from the training data. We have obtained ~90% accuracy in successfully
separating two above mentioned types of fabrics from cell phone images.