Image texture analysis techniques have been applied for evaluating tendon injuries in racehorses. Ultrasound images from superficial and deep digital flexor tendons have been characterized and a measure for quantifying injury grade has been proposed. Wavelet-based texture segmentation and classification algorithms have been developed for quantification of the injury grades. Discrete wavelet pac...

texture detection, texture analysis, texture synthesis, image analysis An algorithm is presented for the detection of textured areas in digital images. Texture detection has potential application to image enhancement, tone correction, defect detection, content classification and image segmentation. For example, texture detection may be combined with a color model and other descriptors to detect...

Characterization of benign and malignant focal kidney lesions such as angiomyolipomas (AMLs) and renal cell carcinomas (RCCs) from ultrasound images is an intimidating task for radiologists due to their enormously overlaying sonographic presences. In the present work the main focus is on the aspect of variations in texture patterns shown by focal kidney lesions. In order to visualise these text...

The identification of glandular tissue in breast X-rays (mammograms) is important both in assessing asymmetry between left and right breasts, and in estimating the radiation risk associated with mammographic screening. The appearance of glandular tissue in mammograms is highly variable, ranging from sparse streaks to dense blobs. Fatty regions are generally smooth and dark. Texture analysis pro...

Texture analysis has become an important task in image processing because it is used as a preprocessing stage in different research areas including medical image analysis, industrial inspection, segmentation of remote sensed imaginary, multimedia indexing and retrieval. In order to extract visual texture features a texture image analysis technique is presented based on the Hermite transform. Ps...

The development and testing of two techniques of texture analysis based on different mathematical tools—the semivariogram and the Fourier spectra—are presented. These are also compared against a benchmark approach: the Gray-Level Co-occurrence Matrix. The three methods and their implementation are briefly described. Three series of experiments have been prepared to test the performance of these...

High-resolution satellite imagery has been regarded as one of important datasets to analyze urban environment composed of complex features. In this study, texture-based image analysis was applied to characterize urban features for regional planning, and firstly new implementation with user interface and main algorithms for this purpose was performed for texture image generation and wavelet imag...

Texture classification, especially color texture classification, is considered a significant step in segmentation and object classification. The property of color and texture is important for characterizing objects in natural scenes. Fractal dimension (FD) has many applications in the field of image compression and image segmentation. A series of FD features, such as mean, standard deviation, l...