This paper investigates on extending and comparing the Gray level co-occurrence matrices (GLCM) and 3D Gabor filters in volumetric texture analysis of brain tumor tissue classification. The extracted features are sub-selected by genetic algorithm for dimensionality reduction and fed into Extreme Learning Machine Classifier. The organizational prototype of image voxels distinctive to the underly...

Image representation is one of the major aspects of automatic classification algorithms. In this paper, different feature extraction techniques have been utilized to represent medical X-ray images. They are categorized into two groups; (i) low-level image representation such as Gray Level Co-occurrence Matrix(GLCM), Canny Edge Operator, Local Binary Pattern(LBP) , pixel value, and (ii) local pa...

By combining the spectral and texture features of images captured by unmanned aerial vehicles (UAVs), accurate timely detection wheat Fusarium head blight (FHB) can be realized. This study presents a methodology to select optimal window size gray-level co-occurrence matrix (GLCM) extract from UAV for FHB detection. Host conditions disease distribution were combined construct model, its overall ...

Breast cancer is one of the main causes death in women and ranks first cases Indonesia. Therefore, an early detection prevention breast necessary, which through mammography procedures. A machine learning classifier such as Support Vector Machines (SVM) could be used aid to doctors radiologist diagnosing from mammogram images. The aim this paper compare two feature extraction methods SVM, namely...

The human brain is the most interesting and intricate mechanism in body which comprised of hundreds billions neurons that has prompted a considerable lot research organ. Some primary activities are to govern muscles, coordinate bodily movement, sensory perceptions, memory, learning, speech, emotions, intelligences consciousness. abnormal proliferation cells leads establishment tumor brain. In t...

Osteosarcoma is a malignant bone tumor that usually affects children and adolescents. Early detection of osteosarcoma tumors increases the likelihood successful therapy. Manual identification requires highly skilled doctors. In this study, we attempt to create model automatically diagnose into three categories; non-tumor, viable-tumor, tumor. The suggested methodology can help medical professio...

In this work, we demonstrate that it is possible to create supervised machine-learning models using a support vector machine and random forest algorithms separate yeast cells exposed hyperosmotic stress from intact cells. We performed fractal, gray level co-occurrence matrix (GLCM), discrete wavelet transform analyses on digital micrographs of nuclear regions interest total 2000 Saccharomyces c...

Second-harmonic-generation (SHG) imaging of mouse ovaries ex vivo was used to detect collagen structure changes accompanying ovarian cancer development. Dosing with 4-vinylcyclohexene diepoxide and 7,12-dimethylbenz[a]anthracene resulted in histologically confirmed cases of normal, benign abnormality, dysplasia, and carcinoma. Parameters for each SHG image were calculated using the Fourier tran...

In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by inte...