author - "Sujai Das"
Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. The Fabric inspection system first acquires high quality vibration free images of the fabric. Then the acquired images are subjected to defect segmentation algorithm. The output of the processed image is used as an input to the Artificial Neural Network (ANN) which uses back propagation algorithm to calculate the weighted factors and generates the desired classification of defects as an output.
SAS (Statistical Analysis System) software is comprehensive software which deals with many
problems related to Statistical analysis, Spreadsheet, Data Creation, Graphics, etc. It is a layered,
multivendor architecture. Regardless of the difference in hardware, operating systems, etc., the
SAS applications look the same and produce the same results. The three components of the SAS
System are Host, Portable Applications and Data. Host provides all the required interfaces
between the SAS system and the operating environment. Functionalities and applications reside
in Portable component and the user supplies the Data. We, in this course will be dealing with the
software related to perform statistical analysis of data.
Fabric inspection system is important to maintain the quality of fabric. Fabric inspection is carried out manually with human visual inspection for a long time. The work of inspectors is very tedious and consumes time and cost.To reduce the wastage of cost and time, automatic fabric inspection is required. This paper proposes an approach to recognize fabric defects in textile industry for minimizing production cost and time. The Fabric inspection system first acquires high quality vibration free images of the fabric. Then the acquired images are subjected to defect segmentation algorithm. The output of the processed image is used as an input to the Artificial Neural Network (ANN) which uses back propagation algorithm to calculate the weighted factors and generates the desired classification of defects as an output.
SAS (Statistical Analysis System) software is comprehensive software which deals with many
problems related to Statistical analysis, Spreadsheet, Data Creation, Graphics, etc. It is a layered,
multivendor architecture. Regardless of the difference in hardware, operating systems, etc., the
SAS applications look the same and produce the same results. The three components of the SAS
System are Host, Portable Applications and Data. Host provides all the required interfaces
between the SAS system and the operating environment. Functionalities and applications reside
in Portable component and the user supplies the Data. We, in this course will be dealing with the
software related to perform statistical analysis of data.