Modeling, Design and Simulation of Systems

Image segmentation is the most important steps in image processing process, especially in detecting and segmenting the main focus object from its background or others unwanted image. The objective of this paper is to develop a segmentation technique for pineapple fruit from crop background at the plantation level. Hue value is used to remove the ground and sky from the image. Then, Adaptive Red and Blue chromatic (ARB) is implemented to segmenting the pineapple fruit from the background such as leaves. In this case, the ARB method is still produced misclassifies error. Further segmentation uses Ellipse Hough Transform (EHT) for results enhancement, so that the fruit’s image is completely filtered from misclassify and background. The results obtained show that the proposed technique manages to identify the fruit from the background with better image output compared to conventional method.