Multi-Level Thresholding in Image Segmentation Using Remora Optimization Algorithm
Mr. Machchhindra Jibhau Garde , Mr. Vijay Santosh Tawar
DOI : 10.46335/IJIES.2023.8.3.9
Abstract – Image processing is commonly used to record more information that can be understood by humans or machines such as computers. Segmentation, thresholding and edge detection are important techniques used in computer aided vision and image processing. In digital images, visual search or subtraction can be done to reveal inconsistencies in the image to prove authenticity. To analyze the image more easily, the threshold is processed, which is a type of image segmentation that the pixel changes in the image to form the image. Initially, a color or grayscale image, for example, is converted to a binary image.
