Indonesian Ethnicity Recognition Based on Face Image Using Gray Level Co-occurrence Matrix and Color Histogram

An Anomaly Detection Method Based on Fuzzy Histogram Hyperbolization and Gray Level Co-occurrence Matrix

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...

Plant Recognition using Stereo Leaf Image using Gray-Level Co-Occurrence Matrix

Adequate knowledge, such as information about the unique characteristics of each plant, is necessary to identify plant. Researchers have made plant recognition based on leaf characteristics. The leaf image-based plant recognition in view of different angles is a new challenge. In this study, the research on the plant recognition was conducted based on leaf images resulted from 3D stereo camera....

Image Retrieval Based on Weighted Block Color Histogram and Texton Co-occurrence Matrix

Sketch Based Image Retrieval Approach Using Gray Level Co-Occurrence Matrix

K. .. Nagarjuna Reddy P. Prasanna Kumari JNT University, JNT University, LIET, Himayatsagar, Hyderabad-8, LIET, Himayatsagar, Hyderabad-8, India India _______________________________________________________________________________________________________ Abstract: This work focuses on Content Based Image Retrieval (CBIR) system using sketches, which is one of the most accepted, rising research ...

Color Histogram and DBC Co-Occurrence Matrix for Content Based Image Retrieval

This paper presents the integration of color histogram and DBC co-occurrence matrix for content based image retrieval. The exit DBC collect the directional edges which are calculated by applying the first-order derivatives in 0o, 45o, 90o and 135o directions. The feature vector length of DBC for a particular direction is 512 which are more for image retrieval. To avoid this problem, we collect ...