<span>Defect inspection emerged as an important role for product quality monitoring process since it is a requirement of International Organization Standardization (ISO) 9001. The used manual impractical because time consuming, human error, tiredness, repetitive and low productivity. Small medium enterprises (SMEs) are industries that having problems in maintaining the their products due ...

Defects in coffee beans can significantly affect the quality of production so that defects cause a decreasing level production. The purpose this study is to implement GLCM (gray-level co-occurrence matrix) and K-NN (k-nearest neighbor) method on web-based program provided website detect bean defects. This uses algorithm extract features images classify defect beans. system development was built...

A novel approach of Content Based Image Retrieval(CBIR), which combines color, texture and shape descriptors to represent the features of the image, is discussed in this paper. The proposed scheme is based on three noticeable algorithms: color distribution entropy(CDE), color level co-occurrence(CLCM) and invariant moments. CDE takes the correlation of the color spatial distribution in an image...

This paper proposes an image textural analytical method for estimating the crowd density and counting. At first, the target detection is conducted to obtain the foreground image. This crowd image is used to calculate the gray level co-occurrence matrix (GLCM). Then, according to the characteristic values of the gray level co-occurrence matrix, i.e., energy, entropy, contrast, homogeneity, we us...

This research paper presents a framework for classifying Magnetic Resonance Imaging (MRI) images for Dementia. Dementia, an age-related cognitive decline is indicated by degeneration of cortical and sub-cortical structures. Characterizing morphological changes helps understand disease development and contributes to early prediction and prevention of the disease. Modelling, that captures the bra...

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...