This paper presents a flower classification and identification system that takes a flower image as input and identifies it to be belonging to a particular category present in the database. It begins by performing pre-processing operations on the input image. A set of digital images are segmented using k-means clustering algorithm from which texture and color features are extracted. Texture feat...

Image texture and color are important features for image segmentation. Several algorithms have been proposed using color features, texture features or combination of color and texture features for image segmentation in the literature. One of the important issues is how well these algorithms work on differentiating among different textures and colors. In this study, we analyze and compare some o...

Biological packaging material based on obtained proteins from fish waste, are biopolymers that have the capability of biodegradable film formation. Thus, purpose of this research is to study and investigate some of films’ physical features made from trout fish Myofibril protein. The film forming solution containing 1.5%, 2% and 2.5%(w/v) Myofibril protein isolate of 100ml solution and glycerol ...

Biological packaging material based on obtained proteins from fish waste, are biopolymers that have the capability of biodegradable film formation. Thus, purpose of this research is to study and investigate some of films’ physical features made from trout fish Myofibril protein. The film forming solution containing 1.5%, 2% and 2.5% (w/v) Myofibril protein isolate of 100ml solution and glycerol...

This paper presents a novel color face recognition method called two-dimensional color uncorrelated discriminant analysis (2DCUDA), which can extract two-dimensional color uncorrelated features and simultaneously retain the face spatial structure information. The 2DCUDA method seeks to explore color uncorrelated discriminant properties of the color face images and eliminate the correlations col...

In this paper, we describe a new approach for color image segmentation which is considered as a problem of pixels classification. The algorithm is applied to classify pixels of soccer color images in order to recognize the team of players. The color pixels classification algorithm is achieved in a new color space, the Hybrid Color Space, which is determined thanks to a supervised learning schem...

This paper evaluates the performance of texture and color features applied to natural image retrieval. Natural images usually contain both texture and color, and therefore those features should also be considered together in a retrieval process. Combination of texture and color features is important, since it may result in closer connection to semantic. The idea in this study is to empirically ...