Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference
نویسندگان
چکیده
منابع مشابه
Image Analysis of Soil Micromorphology: Feature Extraction, Segmentation, and Quality Inference
We present an automated system that we have developed for estimation of the bioecological quality of soils using various image analysis methodologies. Its goal is to analyze soilsection images, extract features related to their micromorphology, and relate the visual features to various degrees of soil fertility inferred from biochemical characteristics of the soil. The image methodologies used ...
متن کاملFeature Extraction, Shape Fitting and Image Segmentation
This lecture covers the related topics of feature extraction, shape fitting and image segmentation. Just about all quantitative analysis of medical images requires some form of segmentation or feature extraction. Segmentation [3] [12] [13] distinguishes structures, regions or tissue classes of interest from other detail in the images. Feature extraction can be used to identify specific structur...
متن کاملAnalysis of Image Segmentation Techniques for Texture Feature Extraction
The pixels of an image are grouped into several regions for segmentation. In segmentation technique the texture feature parameter is an image analysis technique in the field of Computer vision. In the Segmentation field, there are many techniques are used to segment the images .The proposed approach is to analyze and compare the gray level texture feature techniques, number of clusters, Fuzzy C...
متن کاملSAR Image Segmentation Using Voronoi Tessellation and Bayesian Inference Applied to Dark Spot Feature Extraction
This paper presents a new segmentation-based algorithm for oil spill feature extraction from Synthetic Aperture Radar (SAR) intensity images. The proposed algorithm combines a Voronoi tessellation, Bayesian inference and Markov Chain Monte Carlo (MCMC) scheme. The shape and distribution features of dark spots can be obtained by segmenting a scene covering an oil spill and/or look-alikes into tw...
متن کاملRobust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2004
ISSN: 1687-6180
DOI: 10.1155/s1110865704402054