Ensemble of classifier provides a great versatility of classifier for pattern recognition and classification. The pattern recognition and classification is a new age direction for content based image retrieval. The content based image retrieval depends on lower content feature of image. The lower content of feature extraction of image is colour texture and geometrical dimension of image. The ge...

Semisupervised deep learning methods (DLMs) can mitigate the dependence on large amounts of labeled samples using a small number samples. However, for semisupervised feature (SDFL), quality extracted features cannot be well ensured without certain amount To address this issue, we develop SDFL method with consistency (SDFL-FC) hyperspectral image (HSI) classification. The SDFL-FC first adopts co...

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

This paper presents a new content-based image retrieval (CBIR) method based on feature fusion. The deep features are extracted from object-centric and place-centric networks. discrete cosine transform (DCT) solves the strong correlation of reduces dimensions. shallow Quantized Uniform Local Binary Pattern (ULBP), hue-saturation-value (HSV) histogram, dual-tree complex wavelet (DTCWT). Singular ...

This research aims to create an image mosaic from a collection of images by utilizing color feature extraction with CBIR (Content Based Image Retrieval) technique. Some the things be considered in are selection model, how represent features, and metrics for calculating distance between features. The system consists two main parts, preprocessing generating. In stage, quantization is performed on...