Glaucoma is an eye disease that the second leading cause of blindness. Examination glaucoma by ophthalmologist usually done observing retinal image directly. Observations from one doctor to another may differ, depending on their educational background, experience, and psychological condition. Therefore, a detection system based digital processing needed. The or classification with strongly infl...

In the medical field, Image processing methods are widely used. It is a method for the improvement of image, the image which is obtained after processing is useful for earlier detection and various stages of cancer. In cancer tumors such as lung cancer time factor is the important key point because in the targated images of lung cancer time factor is use to discover the abnormality. Basically t...

Forest aboveground biomass (AGB) is a key biophysical variable to assess and monitor the spatio-temporal changes of forest ecosystems. AGB should be accurately timely estimated through remote sensing provide valuable information better support sustainable management strategies. QuickBird WorldView-2 satellites data Random (RF) regression model were used estimate tree in Mediterranean agroforest...

Identifying wood accurately and rapidly is one of the best ways to prevent product fakes adulterants in forestry products. Wood identification traditionally relies heavily on special experts that spend extensive time laboratory. A new method proposed uses near-infrared (NIR) spectra at a wavelength 780–2300 nm incorporated with gray-level co-occurrence (GLCM) texture feature identify timbers. T...

Image similarity measurement is very important part for image clustering and content based image retrieval. Store the images and searching them with efficiency is the main issue. As the volume of image database increases day by day, efficient searching technique is a challenging job. Here a proposed approach is given for image similarity measurement using regionprops, color, texture and GLCM fe...

This work presents an approach for color-texture classification of industrial products. An extension of Gray Level Co-occurrence Matrix (GLCM) to color images is proposed. Statistical features are computed from an isotropic Color Co-occurrence Matrix for classification. The following color spaces are used: RGB, HSL and La*b*. New combination schemes for texture analysis are introduced. A compar...

A method for an anomaly detection system was developed to automate process of recognizing an anomaly of roentgen image by utilizing fuzzy histogram hyperbolization image enhancement and gray level co-occurrence matrix(GLCM). The system consists of image acquisition, pre-processor, feature extractor, response selector and output. Fuzzy Histogram Hyperbolization is chosen to improve the quality o...

Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical component in diagnosis and treatment. In this work various feature selection algorithms are investigated ...

In this paper we present a hybrid approach to segment and classify contents of document images. A Document Image is segmented into three types of regions: Graphics, Text and Space. The image of a document is subdivided into blocks and for each block five GLCM (Grey Level Co-occurrence Matrix) features are extracted. Based on these features, blocks are then clustered into three groups using K-Me...