typology solution in architecture science seeks classifying constructions and spaces in terms of join features. typology studies can be infrastructure of design in micro and minor levels. therefore being oblivious of it in architecture and city planning can lead to state of chaos in urban aspect and makes heterogeneous urban textures. current paper seeks to find factors influencing on formation...

considering numerous problems related to the old textures, sustainable development canbe mentioned as the most efficient approach to avoid consequent shortcomings. the methodology adoptedin the present paper is of analytical–descriptive type. using the mentioned method, the data werecollected through the field and documentary studies. the statistical society of present paper includesspecialists...

today,  iran is faced with a considerable amount of old and timeworn textures. based on  the estimates of  the ministry of  housing and urban development, there are more than 50,000 hectares of urban  old texture in iran, that  due to the lack of credits and understanding of quality and characteristics of such regions, the government has faced with several problems in planning and defusing the ...

Faces have both shape and skin texture, but the relative importance of the two in face representations is unclear. Our goals were first, to determine the contribution of shape versus texture to aftereffects for facial age and identity and second, to assess whether adaptation transferred between shape and texture, suggesting integration in a single representation. In our first experiment we exam...

Texture classification is used in various pattern recognition applications that possess feature-liked appearance. This paper aims to compile the recent trends on the usage of feature extraction and classification methods used in the research of texture classification as well as the texture datasets used for the experiments. The study shows that the signal processing methods, such as Gabor filte...

In this paper the age group estimation is presented based on combination of texture and fractal dimension features. The age of the human is used as one of the important key parameter for computer vision applications. The fractal dimension of the face image and the texture analysis is used to classify the age of the person into the three different groups such as child(10-20), young(21-50) and ol...