Sand Soil Image Processing Using the Watershed Transform and Otsu Thresholding Based on Gaussian Noise

Image processing technology is one of the technologies that can help facilitate and speed up human work, especially in process determining grain size distribution soil a civil building plan. Its utilization has been widely used to study, analyze, understand structure framework soil. analysis carried out as an initial or fundamental step image discover comprehend information. With so many segmentation methods, it necessary conduct research determine which method best for sandy based on quality criteria, namely gaussian noise. By testing watershed transform Otsu thresholding two area-based methods are considered suitable segmenting images before after distorted Gaussian noise calculation mean square error (MSE) value.The results showed better when compared method. This indicated by average squared (mse) 3.08 4.09 Thresholding In addition comparison tests with standard deviation values normal intensities 10, 20, 30, proves still at noise-distorted than However, terms time, faster Watershed Transform conclusions brief. There no citations, tables figures abstract.