Kim, Oxidation of various reactive dyes with in situ electro-generated active chlorine for textile dyeing industry wastewater treatment, J. Wen, Hypochlorite generation on Ru-Pt binary oxide for treatment of dye wastewater, J. US Environmental Protection Agency, Alternative Disinfectants and Oxidants Guidance Manual, EPA 815-R-99-014, USA, 1999.Ĭ.H. Connell, The Chlorination/Chloramination Handbook: Water Disinfection Series, American Water Works Association, Denver, 1996. Ping et al., Local binary pattern (LBP) and local phase quantization (LBQ) based on Gabor filter for face representation.G.F. Raj, Image retrieval based on color feature similarity. Heikkila, Blur insensitive texture classification using local phase quantization, in Proceedings of the International Conference on Image and Signal Processing (ICISP 08) (Springer Press, 2008), pp. Zhou et al., LPQ and LBP based Gabor filter for face representation. Image dataset used for texture analysis: Brodetz database Raj, Various methods of enhancement in colored images: a review. Raj, Color based image retrieval by combining various features. Humeau-Heurtier, Texture feature extraction methods: a survey. Ojala, et al., A comparative Study of Textures measures with classification based on featured distributions. Alsmadi, An efficient similarity measure for content based image retrieval using memetic algorithm. Yamawaki, Textural features corresponding to visual perception. Li, et al., Aging feature extraction of oil-impregnated insulating paper using image texture analysis. Arya, et al., Texture-based feature extraction of smear images for the detection of cervical cancer. Vijaya Kumar, et al., Detecting Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy using Tongue Color, Texture, and Geometry Features (IEEE, 2013). Pickering, et al., Texture feature extraction method for scalen and rotation invariant image retrieval. Liu, et al., Image retrieval and classification using adaptive local binary patterns based on texture features. Liu, et al., Training-based gradient LBP feature models for multiresolution texture classification. Ramamoorthy, et al., Texture feature extraction using MGRLBP method for medical image classification. ![]() ![]() This paper is focused on the LBP and LPQ techniques and its comparative analysis. With the continuation on this, analysing the different research papers on texture-based feature extraction especially on local binary pattern (LBP) and local phase quantization (LPQ), here this paper tries to analyse and compare the efficiency of image retrieval with respect to their texture feature vector dataset of images with the help of different texture feature extraction techniques, especially LBP and LPQ. ![]() Either number of work had been done in these directions, but there is still the scope of work to be done. In this manner, the content-based image retrieval (CBIR) plays a vital role in finding the similarity of images to query image. As a broad area of field and applications, texture analysis from the area of remote sensing to biomedical imaging, image inpainting, etc., for each area of these, it requires some raw data image to extract some meaningful features that define the characteristics of an image.
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