Texture feature is one of the most common image segmentation, classification, extraction, and surface analysis techniques. In many image processing tasks, texture plays a vital role. The texture is defined by a neighborhood's spatial distribution of the gray level. For a point, however, texture ...
The system mainly contains two parts: ancient ceramic data acquisition and spatial geometric feature extraction, detailed as shown in Fig. 1 ancient ceramic split binocular image acquisition and processing system. Figure 1A depicts the ancient ceramic data acquisition platform, which is comprised of a...
Feature extractionTexture is an important visual property which has been largely employed for image characterization. Recently, Convolutional Networks has been the predominant approach on Computer Vision, and their application on texture analysis shows interesting results. However, their popularity steers ...
computational efficiency of Local Binary Patterns (LBP) in extracting the texture feature of remote sensing images, and due to its simple computational process and sensitivity to different surface details, LBP emerges as a reliable method for texture feature extraction in remote sensing image analysis....
Direct geo-referencing is usually not sufficient for precise texture extraction. In addition, 3D building models have also uncertain geometry. In this paper, therefore, methodology for co-registration of uncertain 3D building models with airborne oblique view images is presented. For this purpose, a...
Considering MultiExtractor recognizes a wide range of formats, users can also choose the type of files that should be processed, thus reducing the time it takes to complete an extraction. They can even filter the size of the image that need to be dealt with, depending on their preferences. ...
Feature extraction is a key step in image processing for pattern recognition and machine learning processes. Its purpose lies in reducing the dimensionality of the input data through the computing of features which accurately describe the original information. In this article, a new feature extraction...
Liu Li, Kuang Gangyao.Overview of image textural feature extraction methods.Journal of Image and Graphics,2009,14(4): 622 -635 Google Scholar [3] Haralick R M, Shanmugam K, Dinstein I.Textural features for image classification.IEEE Transactions on Systems, Man, and Cybernetics,1973,SMC-3(6...
computational efficiency of Local Binary Patterns (LBP) in extracting the texture feature of remote sensing images, and due to its simple computational process and sensitivity to different surface details, LBP emerges as a reliable method for texture feature extraction in remote sensing image analysis....
Aiming at the problem of low recognition accuracy caused by inaccurate feature extraction, a video flame detection method based on LGATP (Local Gabor adaptive threshold ternary pattern) texture feature and sparse representation is proposed. Firstly, adaptive local ternary pattern (LTP) is extracted fro...