Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur

TL;DR

This paper presents a method combining CLAHE and Histogram Equalization for image enhancement, followed by watershed segmentation, to accurately detect chicken egg embryos with approximately 98% accuracy.

Contribution

It introduces a novel combination of image enhancement techniques with watershed segmentation for improved embryo detection in egg images.

Findings

CLAHE-HE enhances image clarity for embryo detection

Watershed segmentation accurately isolates embryo regions

Detection accuracy reaches approximately 98%

Abstract

Image processing can be applied in the detection of egg embryos. The egg embryos detection is processed using a segmentation process. The segmentation divides the image according to the area that is divided. This process requires improvement of the image that is processed to obtain optimal results. This study will analyze the detection of egg embryos based on image processing with image enhancement and the concept of segmentation using the watershed method. Image enhancement in preprocessing in image improvement uses a combination of Contrast Limited Adaptive Histogram Equalization (CLAHE) and Histogram Equalization (HE) methods. The grayscale egg image is corrected using the CLAHE method, and the results are reprocessed using HE. The image improvement results show that the CLAHE-HE combination method gives a clear picture of the object area of the egg image that has an embryo. The segmentation process using image conversion to black and white image and watershed segmentation can clearly show the object of a chicken egg that has an embryo. The results of segmentation can divide the area of the egg having embryos in a real and accurate way with a percentage \approx 98\%.