Localized Image Segmentation and Enhancement for Meteorite Images
نویسنده
چکیده
This paper proposed an image enhancement and segmentation algorithm to localize the segment of interest in a series of images obtained from the Electron Microprobe. There are totally four different images that are corresponding to the spatial density distributions of four major chemical elements inside a meteorite rock surface. The density distribution of each chemical element is shown in a gray valued image with a resolution in the micrometer range. Our algorithm applied a statistical image enhancement technique to improve the visualization of features about the same segment of interest in three images using one image as a reference. The three chemical elements distributions of a localized cluster were enhanced, and eventually integrated together into a synthetic color image to reflect various chemical compound distributions insider this cluster.
منابع مشابه
A Novel Spot-Enhancement Anisotropic Diffusion Method for the Improvement of Segmentation in Two-dimensional Gel Electrophoresis Images, Based on the Watershed Transform Algorithm
Introduction Two-dimensional gel electrophoresis (2DGE) is a powerful technique in proteomics for protein separation. In this technique, spot segmentation is an essential stage, which can be challenging due to problems such as overlapping spots, streaks, artifacts and noise. Watershed transform is one of the common methods for image segmentation. Nevertheless, in 2DGE image segmentation, the no...
متن کاملImproving Dark Channel Prior for Single Image Dehazing
This paper proposes an improved dark channel prior for removing haze from images. Dark channel prior is an effective method for removing haze. Dark channel is an image in the same size as the hazy image which is obtained by dividing the RGB images into windows and for each window, the minimum of each R, G and B channels are calculated. Then again the minimum of these three values is calculated ...
متن کاملPerformance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...
متن کاملQuantitative Comparison of SPM, FSL, and Brainsuite for Brain MR Image Segmentation
Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...
متن کامل