With a fast development of computed tomography technology, CT images has become one of the most efficient examination method to detect lung diseases in clinical. By using lung CT image, automatic segmentation is done in order to assist the surgeons to remove the portion of lung for the treatment of certain illness such as lung cancer, and tumours. In the proposed method tumour is diagnosed and ...

Recently several papers have appeared in the literature which propose pseudo-dynamic features for automatic static handwritten signature verification based on the use of gray level values from signature stroke pixels. Good results have been obtained using rotation invariant uniform local binary patterns LBP plus LBP and statistical measures from gray level co-occurrence matrices (GLCM) with MCY...

Seiring dengan meningkatnya konsumsi daging sapi di masyarakat, membuat orang yang tak bertanggung jawab memanfaatkan kondisi menjual tidak layak kepada hal ini terjadi karena kurangnya pengetahuan masyarakat tentang ciri-ciri berkualitas, untuk mengetahui kualitas dapat ditentukan dari tekstur sapi. Pada umumnya menggunakan penglihatan kasat mata menentukan Namun, cara tersebut masih kurang ef...

A spatial classification technique incorporating a novel feature derivation method is proposed for classifying the heterogeneous classes present in the hyper spectral images. The classification accuracy can be improved if and only if both the feature extraction and classifier selection are proper. As the classes present in the hyper spectral image are having different textures, textural classif...

In this paper, we propose a new image segmentation World Academy of Science, Engineering and Technology International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:5, No:5, 2011 427 International Scholarly and Scientific Research & Innovation 5(5) 2011 scholar.waset.org/1999.4/6017 In te rn at io na l S ci en ce I nd ex , C om pu te r an d In fo rm at io n...

This work reviews the most relevant present-day processing methods used to improve the accuracy of multimodal nonlinear images in the detection of epithelial cancer and the supporting stroma. Special emphasis has been placed on methods of non linear optical (NLO) microscopy image processing such as: second harmonic to autofluorescence ageing index of dermis (SAAID), tumor-associated collagen si...

One of many method for image retrieval is Multi Texton Histogram (MTH) that incorporated feature extraction technique. Though the MTH is able to represent the image very well, it’s still has weaknesses. First, the MTH is only using local features to represent image. Second, in the process of pixel pair detection using texton, there is information missing that caused image representation may deg...

A spatial classification technique incorporating a novel feature derivation method is proposed for classifying the heterogeneous classes present in the hyper spectral images. The classification accuracy can be improved if and only if both the feature extraction and classifier selection are proper. As the classes present in the hyper spectral image are having different textures, textural classif...

Solar cell is known as a sustainable and environment friendly source of energy in nature. It converts sunlight directly into electricity with zero emission and also without side-effects on the environment. But, solar cells have optical and mechanical defects which include the type of micro crack, the size of crack, and the noise from electrical or electromechanical interference during the image...

Abstract: The pattern identification problems such as stone, rock categorization and wood recognition are used texture classification technique due to its valuable usage in it. Generally, texture analysis can be done one of the two ways i.e. statistical and structural approaches. More problems are occurred when working with statistical approaches in texture analysis for texture categorization. ...