Results 201 to 210 of about 22,865 (233)

Smoke detection using GLCM, wavelet, and motion

SPIE Proceedings, 2014
This paper presents a supervised smoke detection method that uses local and global features. This framework integrates and extends notions of many previous works to generate a new comprehensive method. First chrominance detection is used to screen areas that are suspected to be smoke. For these areas, local features are then extracted. The features are
Teerasak Srisuwan, Miti Ruchanurucks
openaire   +1 more source

Blind Image Quality Assessment via Analysis of GLCM

2018
Blind image quality assessment (BIQA) assesses the perceptual quality of the distorted image without any information about its original reference image. Features, in consistent with human visual system (HVS), have been proved effective for BIQA. Motivated by this, we propose a novel general purpose BIQA approach.
Guanghui Yue 0001, Chunping Hou, Tongtong Ma, Yang Yang 0045   +3 more
openaire   +1 more source

A Novel framework of Adaptive fuzzy-GLCM Segmentation and Fuzzy with Capsules Network (F-CapsNet) Classification

Neural computing & applications (Print), 2023
Rizwan Ali, A. Manikandan, Jinghong Xu
semanticscholar   +1 more source

DCT based texture watermarking using GLCM

2010 IEEE 2nd International Advance Computing Conference (IACC), 2010
We present a novel DCT technique for digital watermarking of textured images based on the concept of gray-level co-occurrence matrix (GLCM). We provide analysis to describe the behavior of the method in terms of correlation as a function of the offset for textured images.
Sushila Kamble, Suneeta Agarwal, V.K. Shrivastava, Vikas Maheshkar   +3 more
openaire   +1 more source

GENETIC ALGORITHM OPTIMIZATION OF ADAPTIVE MULTI-SCALE GLCM FEATURES

International Journal of Pattern Recognition and Artificial Intelligence, 2003
We introduce a new second-order method of texture analysis called Adaptive Multi-Scale Grey Level Co-occurrence Matrix (AMSGLCM), based on the well-known Grey Level Co-occurrence Matrix (GLCM) method. The method deviates significantly from GLCM in that features are extracted, not via a fixed 2D weighting function of co-occurrence matrix elements, but ...
Ross F. Walker, Paul T. Jackway, Dennis Longstaff   +2 more
openaire   +4 more sources

Wire rope defect identification based on ISCM-LBP and GLCM features

The Visual Computer, 2023
Qunpo Liu, Yang Song, Qi Tang, Xuhui Bu, N. Hanajima   +4 more
semanticscholar   +1 more source

Blurred image recognition based on GLCM

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 2023
Yan Li, Jinqiao Du, Yong Yi, Jie Tian, Zijun Liu, Yuhuan Li, Fan Yang   +6 more
openaire   +1 more source

การเปรียบเทียบการจำแนกเชิงวัตถุข้อมูลดาวเทียม SPOT 5 จากการวิเคราะห์ค่าการสะท้อนแสงและลายเนื้อชนิด GLCM

การจำแนกข้อมูลดาวเทียมด้วยเทคนิคการจำแนกเชิงวัตถุ (Object-based classification) ช่วยจำแนกวัตถุบนภาพถ่ายจากค่าการสะท้อนแสง (Spectral analysis) ให้มีความถูกต้องดียิ่งขึ้น แต่การจำแนกพืชที่ปลูกในบริเวณใกล้เคียงกันและมีค่าการสะท้อนแสงใกล้เคียงกันยังคงทำให้การจำแนกข้อมูลมีการปะปนกัน การใช้อัลกอริธึมลายเนื้อ (Texture algorithm) ชนิด Gray Level Co-occurrence ...
openaire   +1 more source

Improving machine learning recognition of colorectal cancer using 3D GLCM applied to different color spaces

Multimedia tools and applications, 2022
A. Alqudah, A. Alqudah
semanticscholar   +1 more source

GLCM based features for steganalysis

2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence), 2014
null Ashu, Rita Rana Chhikara, Deepika Bansal   +2 more
openaire   +1 more source