Recently several papers have appeared in the literature which propose pseudo-dynamic features for automatic static handwritten signature verification based on the use of gray level values from signature stroke pixels. Good results have been obtained using rotation invariant uniform local binary patterns LBP plus LBP and statistical measures from gray level co-occurrence matrices (GLCM) with MCY...

Texture segmentation is the process of partitioning an image into regions with different textures containing a similar group of pixels. Detecting the discontinuity of the filter's output and their statistical properties help in segmenting and classifying a given image with different texture regions. In this proposed paper, chili x-ray image texture segmentation is performed by using Gabor filte...

This paper proposes an image textural analytical method for estimating the crowd density and counting. At first, the target detection is conducted to obtain the foreground image. This crowd image is used to calculate the gray level co-occurrence matrix (GLCM). Then, according to the characteristic values of the gray level co-occurrence matrix, i.e., energy, entropy, contrast, homogeneity, we us...

A novel approach using volumetric texture and reduced-spectral features is presented for hyperspectral image classification. Using this approach, the volumetric textural features were extracted by volumetric gray-level co-occurrence matrices (VGLCM). The spectral features were extracted by minimum estimated abundance covariance (MEAC) and linear prediction (LP)-based band selection, and a semi-...

Tumbuhan memiliki peranan penting dalam menjaga keseimbangan ekosistem karena sebagai sumber makanan suatu rantai makanan. Tomat (Lycopersicon esculentum) merupakan salah satu bahan yang kaya akan nutrisi, gizi dan juga dapat memberikan energi. banyak digunakan diberbagai negara termasuk Indonesia menjadi buruan untuk dikreasikan berbagai rempah masakan, sehingga tomat perekonomian disebabkan o...

Identifying wood accurately and rapidly is one of the best ways to prevent product fakes adulterants in forestry products. Wood identification traditionally relies heavily on special experts that spend extensive time laboratory. A new method proposed uses near-infrared (NIR) spectra at a wavelength 780–2300 nm incorporated with gray-level co-occurrence (GLCM) texture feature identify timbers. T...