Application of Thresholding Method in Image Processing using MATLAB R2016A for Engineering Applications

Abstract

Abstract

The development of technology and science in digital image processing is increasingly rapid and has become one of the fields of research that is in great demand, especially in the context of engineering and engineering applications. With the availability of technological devices capable of capturing high-quality images, such as digital cameras with ever-increasing pixel resolution, the need for effective and efficient image segmentation techniques is also becoming increasingly relevant. This study proposes the application of the thresholding method as an image segmentation approach to produce accurate segmented images, which can be used in various engineering applications. The thresholding method in this study is applied through several main steps, including: Conversion of the color space of the image from RGB to Grayscale to simplify color information, The segmentation process uses a thresholding algorithm to separate the object from the background, Complement operation on the binary image, where the object that has a value of 1 (white) is separated from the background that has a value of 0 (black). The application of morphological operations to improve the segmentation results, including filling holes, opening areas, and erosion steps to improve the shape and structure of objects in the segmentation images. This study uses MATLAB R2016A software in the development of the model and the implementation of the thresholding algorithm. Tests are carried out on several types of engineering imagery, such as images of machine components and building structures, to evaluate the effectiveness of the proposed method in engineering applications.