Md., Sidek S.N., Rusli N.: Implementation of GLCM Features in Thermal Imaging for Human Affective State Detection, In the Proceedings of IEEE International Symposium on Robotics and Intelligent Sensors (IEEE IRIS2015), (IEEE: Langkawi, Malaysia, 2015), Vol. 76, pp. 308-315....
Redouan Korchiynel, , Sidi Mohamed Farssi, Abderrahmane Sbihi, Rajaa Touahni, Mustapha Tahiri Alaoui, "A Combined Method Of Fractal And GLCM Features For MRI And CT Scan Images Classification", Signal & Image Processing : An International Journal (SIPIJ) Vol.5, No.4, August 2014....
The system was developed on windows platform, modified some traditional features and found that a combination of our three modified features, such as entropy, standard deviation, and number of pixels, is the best combination of features to distinguish a benign micro calcification pattern from one ...
It is proven that GLCM can depict shale sedimentary structures efficiently and accurately, and four texture features (contrast, entropy, energy, and homogeneity) are sensitive to shale sedimentary structures. To accommodate the correlation between the four texture features, the random forest a...
Moreover, the one of GLCM (Gray Level Co-occurrence Matrix) features, namely, the contrast or inertia adjusted聽by threshold as switch between partial filters is utilised. Finally, at the positions of partial filters the adaptive LMS versions of L-filters are chosen....
fastGLCM Fast GLCM feature texture computation. This R package includes two GLCM implementations: An Rcpp Armadillo implementation which is parallelized and modified to return all GLCM features at once. Preferably use this version but be aware that there is a difference when computing the convolution...
classification methods for GLCM features with an overall accuracy of 99.94%.The network's performance was assessed in terms of sensitivity, accuracy, and ... AB Godbin,SG Jasmine - 《Sn Computer Science》 被引量: 0发表: 2023年 Smart Agriculture Framework for Automated Detection of Leaf Blast ...
To this end, this study used Unmanned aerial vehicles (UAVs) to acquire multispectral imagery during crucial growth stages of rice and evaluated the performance of TFs derived with different grey level co-occurrence matrix (GLCM) parameters by random forest (RF) regression mo...
Ann JoseResearch and ReviewsLiya Baby, Ann Jose, "Digital Image Forgery Detection Based on GLCM and HOG Features" International Journal of Advanced research in Electrical, Electronics and Instrumentation Engineering, Vol.3, Issue.5, Dec.2014, pp.426-430....
Handwritten Devanagari numeral recognition system using GLCM features and neural network is presented in this paper. Handwrittencharacter recognition is one of the most fascinating and challenging research areas in the field of image pro... Sanrin,Lin,and,... - 《Gastroenterology》 被引量: 23发表...