Results 231 to 240 of about 208,499 (277)

Development of Surveillance Robots Based on Face Recognition Using High-Order Statistical Features and Evidence Theory. [PDF]

J Imaging
Chaabane SB, Harrabi R, Bushnag A, Seddik H.   +3 more
europepmc   +1 more source

Application of radiomics-based image filtering to improve deformable image registration accuracy in thoracic images. [PDF]

Phys Imaging Radiat Oncol
Ieko Y, Kadoya N, Ariga H.
europepmc   +1 more source

Hybrid deep neural network with PCA based features optimization for enhancing brain tumor classification. [PDF]

Sci Rep
Pandey BK, Pandey D, Lee TF, Lelisho ME.
europepmc   +1 more source

Multimodality and temporal analysis of cervical cancer treatment response. [PDF]

Quant Imaging Med Surg
Feng H, Yoshida E, Sheng K.
europepmc   +1 more source

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Particulate matter characterization by gray level co-occurrence matrix based support vector machines

Journal of Hazardous Materials, 2012
An efficient and highly reliable automatic selection of optimal segmentation algorithm for characterizing particulate matter is presented in this paper. Support vector machines (SVMs) are used as a new self-regulating classifier trained by gray level co-occurrence matrix (GLCM) of the image.
K, Manivannan, P, Aggarwal, V, Devabhaktuni, A, Kumar, D, Nims, P, Bhattacharya   +5 more
openaire   +4 more sources

Gray Level Co-Occurrence Matrix Computation Based On Haar Wavelet

Computer Graphics, Imaging and Visualisation (CGIV 2007), 2007
In this paper, a new computation for gray level co-occurrence matrix (GLCM) is proposed. The aim is to reduce the computation burden of the original GLCM computation. The proposed computation will be based on Haar wavelet transform. Haar wavelet transform is chosen because the resulting wavelet bands are strongly correlated with the orientation ...
Abu Bakar, S.A.R, Mokji, M.M
openaire   +2 more sources

Skin Disease Identification System using Gray Level Co-occurrence Matrix

Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017
Diagnosis of the skin disease has always been in terms of a doctor's knowledgeable opinion, or by number of laboratory screenings. Diagnosis is made by looking for additional signs that make the doctor's statement accurate, however in some cases signs are indistinguishable that results to miss potential diagnosis.
Joseph Mark G. Aglibut, Luigi L. Alonzo, Monica Francesca B. Coching, Jumelyn L. Torres, Noel B. Linsangan   +4 more
openaire   +1 more source

Classification of Crop Lodging with Gray Level Co-occurrence Matrix

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
Lodging in agricultural crops is the permanent displacement of a plant from its upright position [2]. It may be caused by several weather and environmental conditions. Harvesting severely lodged crops may take twice as much time and results in reduced yield. Plant breeders seek to identify and select for lodging-resistant varieties.
Sajith Rajapaksa, Mark Eramian, Hema Duddu, Menglu Wang, Steve Shirtliffe, Seungbum Ryu, Anique Josuttes, Ti Zhang, Sally Vail, Curtis Pozniak, Isobel Parkin   +10 more
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Research on Characteristic Properties of Gray Level Co-Occurrence Matrix

Applied Mechanics and Materials, 2012
Gray level co-occurrence matrix (GLCM) is a second-order statistical measurement. In order to understand the characterization degree of GLCM’s different feature properties, we use images of Brodatz texture images as experimental samples, analyze the change process of feature properties in horizontal, vertical and principal and secondary diagonal ...
Ying Chen, Feng Yu Yang
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3D shape recovery from image focus using gray level co-occurrence matrix

Tenth International Conference on Machine Vision (ICMV 2017), 2018
Recovering a precise and accurate 3-D shape of the target object utilizing robust 3-D shape recovery algorithm is an ultimate objective of computer vision community. Focus measure algorithm plays an important role in this architecture which convert the color values of each pixel of the acquired 2-D image dataset into corresponding focus values.
Mahmood, F., Munir, U., Mehmood, Fahad, Iqbal, J.   +3 more
openaire   +1 more source