图像增强的分水岭变换分割方法
Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
摘要：
图像处理可应用于卵胚的检测。使用分割过程来处理卵胚胎检测。分割根据被划分的区域来划分图像。这个过程需要改进图像，以获得最佳结果。本研究将分析基于图像增强的图像处理与分水岭分割法的概念，以检测蛋胚。在图像改善中的预处理中的图像增强使用对比度受限自适应直方图均衡（CLAHE）和直方图均衡（HE）方法的组合。采用CLAHE方法对灰度鸡蛋图像进行校正，并对校正结果进行HE再处理。图像改善结果表明，CLAHE-HE组合方法给出了具有胚胎的鸡蛋图像的对象区域的清晰图像。分割过程采用图像转换为黑白图像和分水岭分割，可以清晰地显示出带有胚胎的鸡蛋的对象。分割结果能真实、准确地分割出含胚鸡蛋的区域，\approx的百分比为\approx 98%。
英文摘要：
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\%.
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