  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\%.
