A total of 144 lambs were sampled in a 3×2×2 factorial design, testing three residence (stay) times at a pre-slaughter classification centre (0, 7, and 28days) and two seasons (summer and winter), with two replicates in each season. Meat from the longissimus dorsi was analysed in terms of pH, WHC, texture, colour (L∗a∗b∗, chroma and hue) and carcass bruising. Stay time had a significant effect ...

Modern web era has lots of multimedia contents to share on social networking websites, emails, video and photo sharing portals, chat tools, and these are going faster and faster day by day due to easy availability of internet and high quality digital cameras in every hand. As a result the servers have a large collection of these multimedia contents especially images and to extract out the desir...

In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first no...

A new generative multispectral texture model based on discrete distribution mixtures is introduced. Statistical texture properties are represented by a discrete distribution mixture of product components. A natural colour or multispectral texture is spectrally factorized and discrete mixtures models are learned and used to synthesize single orthogonal monospectral components. Texture synthesis ...

We propose a technique for the segmentation of images using both colour and texture information. This information is in the form of lowpass colour responses and sixteen Gabor texture lter responses. A self-organising feature map is trained to label any set of responses into appropriate categories. We quantify the success of the approach and assess the importance of colour and texture in the seg...

This paper proposes, a hybrid approach employing texture and colour feature is investigated. A modified approach for performing texture based feature extraction by gray level co-occurrence matrix and colour based feature extraction by colour cooccurrence vector. The Euclidean distance classifier is used for finding the similarity measures between the query image and the database image. In our p...

This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local binary pattern and discrete cosine transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based ...

Texture features are important factor in content based image retrieval. Texture descriptors are important factor in grey scale images, but due to advancements in colour image processing textures descriptors are developed a major factor for colour space images. In this paper various colour and grey scale based texture features have been discussed that can be used for extraction of texture histog...