Development and Implementation of Graphical User Interface for Image Preprocessing using Matlab

Abstract

Image pre-processing is a basic step for any image based applications. It is a technique to enhance quality of the images captured from cameras or sensors, aircrafts and space probes or pictures taken for various applications in normal day-today life. The accuracy of this technique must be significantly high in order to ensure the success of the subsequent steps. This intended software has the intention to make image preprocessing more efficient and interactive so that the user has clear idea about the outcome of each manipulation. In the intended application, one can manipulate the corrupted image to get the meaningful, desired output by applying various techniques provided in the software. The outcome of the intended application is obtained immediately and reduces the queue time to perform manipulations for the experienced user. If the user is a beginner, then he can go for trial session to try all the techniques and understand their outcome.

Improving Cotton Yarn Appearance Grading System using Image Processing of Blackboard Yarn Winder in MATLAB

“…Instead of manual blackboard yarn appearance grading system, using a computerized and MATLAB cotton yarn image processing, the way of yarn appearance grading system and outputs will be improved and can get accurate result by replacing the human vision and perception grading method. However, in textile yarn manufacturing, many industries use the traditional one of blackboard yarn grading system, it needs two or more persons to observe and decide the yarn grade visually by compare and contrast with the standard ASTM (D-2255) [12], photograph image, and it is tedious for visual observing the yarn surface defects. To solve this problem, using of software based yarn evaluating method is important to get more precise yarn grading result.…”