GLCM is a feature extraction method that uses statistical analysis using gray scale. Contrast, correlation, energy and entropy are features whose value will be sought as the basis for finding threshold which can then used to find in image segmentation. In this study, local-based where has been made into grayscale divided 16 parts of same size. Each section look its features, namely entropy. The...

Microscopic images of leaves, collected from Mona Island dry forest (which is located between Puerto Rico and the Dominican Republic), were analyzed. For each leaf side an image was obtained at two magnifications (200x and 400x). This resulted in four samples of images showing a wide variety of textures and stomata patterns. For each group of images we used the gray-level co-occurrence method t...

-The image mining technique deals with the extraction of implicit knowledge and image with data relationship or other patterns not explicitly stored in the images. It is an extension of data mining to image domain. The main objective of this paper is to apply image mining in the domain such as breast mammograms to classify and detect the cancerous tissue. Mammogram image can be classified into ...

For diagnosis of lung tumors, CT scan of lungs is one of the most common imaging modalities. Manually identifying tumors from hundreds of CT image slices for any patient may prove to be a tedious and time consuming task for the radiologists. Therefore, to assist the physicians we propose an automatic lung tumor detection method based on textural features. The lung parenchyma region is segmented...

In this paper, scale invariant texture classification method based on Fuzzy logic is developed. It is applied for the classification of texture images. Two types of texture features are extracted one using Discrete Wavelet Transform (DWT) and other using Gray Level Co-occurrence matrix (GLCM). Two features are obtained from each sub-band of DWT coefficients up to fifth level of decomposition an...

The Panoramic Dental X-ray image is an important tool for a thorough dental examination. These X-ray images suffer from poor contrast because of the luminance non-linearity introduced by medical imaging techniques. Hence an automatic method of image enhancement of panoramic X-ray image is essential. A novel method of improving the quality of these images is determined based on gamma correction ...

In this paper, a new fusion texture feature with orthogonal polynomials based multiresolution subband and the Gray Level Co-occurrence Matrix (GLCM) is presented. The proposed orthogonal polynomials based multiresolution subband coefficients posses the localized frequency information and the GLCM matrices capture the structural and statistical properties from the subband coefficients for charac...

Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of histogram of gray-level co-occurrence matrix (GLCM) that is based on second-order statistics and propose a new machine vision algorithm for automat...