Search results
Results from the WOW.Com Content Network
Artificial texture example. Natural texture example. An image texture is the small-scale structure perceived on an image, based on the spatial arrangement of color or intensities. [1] It can be quantified by a set of metrics calculated in image processing. Image texture metrics give us information about the whole image or selected regions. [1]
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, [ 3 ] such as color , intensity , or texture .
2D Gabor filters have rich applications in image processing, especially in feature extraction for texture analysis and segmentation. [12] defines the frequency being looked for in the texture. By varying , we can look for texture oriented in a
Multi-block LBP: the image is divided into many blocks, a LBP histogram is calculated for every block and concatenated as the final histogram. Volume Local Binary Pattern(VLBP): [11] VLBP looks at dynamic texture as a set of volumes in the (X,Y,T) space where X and Y denote the spatial coordinates and T denotes the frame index. The neighborhood ...
The original spectral data can be enriched by adding the contextual information carried by the neighbour pixels, or even replaced in some occasions. This kind of pre-processing methods are widely used in textured image recognition. The typical approaches include mean values, variances, texture description, etc.
In computer vision, visual descriptors or image descriptors are descriptions of the visual features of the contents in images, videos, or algorithms or applications that produce such descriptions. They describe elementary characteristics such as the shape , the color , the texture or the motion , among others.
The texture can provide information that helps to distinguish whole objects, and the changing texture in an image reveals which distinct objects may be part of the same group. Texture segmentation rules often both cooperate and compete with each other, and examining the texture can yield information about the layers of the image, disambiguating ...
Modeling and analyzing dynamic texture is a topic of images processing and pattern recognition in computer vision. Extracting features that describe the dynamic texture can be utilized for tasks of images sequences classification, segmentation, recognition and retrieval.