Abstract In order to select for image thresholding an optimal threshold that is relatively robust to the presence of skew or heavy-tailed class-conditional distributions, we propose in this paper two median-based approaches: one is an extension of Otsu’s method, and the other is an extension of Kittler and Illingworth’s minimum error thresholding. The two extensions preserve the methodological ...

<span>Image thresholding is a well approved pre-processing methodology and enhancing the image information based on chosen threshold always preferred. This research implements mayfly optimization algorithm (MOA) multi-level-thresholding class of benchmark images dimension 512x512x1. The MOA novel with phases, such as; i) Initialization, ii) Exploration male-mayfly (MM), iii) female-mayfly...

The speckle corrupted image is a traditional problem in both biomedical and in synthetic aperture processing applications, including synthetic aperture radar (SAR). In a SAR image, speckle manifests itself in the form of a random pixel-to-pixel variation with statistical properties similar to those of thermal noise. Due to its granular appearance in an image, speckle noise makes it very difficu...

------------------------------------------------------------ABSTRACT--------------------------------------------------------Digital Remote Image (DRI) denoising using thresholding methods means find appropriate value (threshold) which separates noise values to actual image values without affecting the significant features of the image. The aim of this project is to develop a best poisson noise ...