Texture Analysis

…uniformity, density, coarseness, roughness, regularity, intensity and directionality of discrete tonal features and their spatial relationship.

Environment control strategy using Neural Network control for moss

This is a model of environmental control strategies based on plant responses using intelligent machine vision technique.

Neural Network based Irrigation System for Sunagoke Moss

Substantial increases in yield could be possible if irrigation water was applied at the most appropriate time and accurate amount of water to prevent excessive drought stress.

Feature selection for Moss water content prediction using Genetic-Neural Algorithm

In Genetic-neural algorithm methods, a search procedure in the space of possible feature subsets is defined, and various subsets of features are generated and evaluated.

ASABE Annual International Meeting, Rhode Island, USA (2008)

Providence is one of the oldest cities in America and it has the architecture to prove. It has a larger percentage of buildings on the National Historic Register than any other U.S. city, with scores of immaculately preserved Colonial, Federal, Greek Revival and Victorian homes and buildings.

17th IFAC World Congress, Seoul Korea (2008)

The IFAC World Congress held in Seoul, Korea in 2008 is the 17th of the triennial IFAC World Congress series….a record number of more than 3700 papers have been submitted and approximately 2700 have been accepted. All of these papers was presented in 397 oral sessions and 7 poster sessions over the five day period, all in one conference venue of COEX, Seoul, Korea.

JSABEES Matsuyama, Ehime University (2008)

….it was a JSABEES Annual Conference held in Matsuyama (Ehime University) in September 2008.

Feature Selection for Water content prediction using Filter Method

Filter techniques assess the relevance of features by looking only at the intrinsic properties of the data. In most cases a feature relevance score is calculated, and low scoring features are removed.

How to separate object and background pixel using RGB

In image analysis process, the first step is to find objects (connected regions of pixels) in the image.

Texture Analysis (basic overview)

Texture is a measure of the variation of the intensity of a surface, quantifying properties such as smoothness, coarseness and regularity.