Ikan neon adalah spesies ikan cantik yang populer, terutama di kalangan penggemar aquascape. Terdapat dua jenis yaitu tetra dan kardinal masing-masing memiliki pola sisik berbeda, memancarkan kilatan warna biru merah memanjang dari pusat tubuh hingga ke bagian bawah otak. cardinal lampu berwarna pangkal ekor kepalanya. Namun, seringkali tubuh, sirip, mirip, sehingga sulit untuk mengidentifikasi...

A new feature extraction method for iris recognition in non-subsampled contourlet transform (NSCT) domain is proposed. To extract the features a two-level NSCT, which is a shift-invariant transform, and a rotation-invariant gray level co-occurrence matrix (GLCM) with 3 different orientations are applied on both spatial image and NSCT frequency subbands. The extracted feature set is transformed ...

This paper proposed a novel voting ranking random forests (VRRF) method for solving hepatocellular carcinoma (HCC) image classification problem. Firstly, in preprocessing stage, this paper used bilateral filtering for hematoxylin-eosin (HE) pathological images. Next, this paper segmented the bilateral filtering processed image and got three different kinds of images, which include single binary...

Abstract: Classification of the cervical cell is one of the most important and crucial tasks in the medical image analysis. Due to its importance, the aim of the paper is to investigate about the classification of Cervical Cell as Normal Cell or Abnormal Cell by using individual feature extraction method and combining individual feature extraction features method with the classification techniq...

The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the difficulty in obtaining the wood database. In o...

Automated grading system plays an important role in many industries. In ceramic industries, the grading of ceramic tiles is a difficult task as it has huge variations of surface properties. In this paper, automated surface grading system based on Discrete Wavelet Transform (DWT) and Gray Level Co-occurrence Matrices (GLCM) is presented. Texture information’s in ceramic tiles are effectively rep...

Image texture classification is widely used in many applications and received considerable attention during the past decades. Several efforts have been made for developing image texture classification algorithms, including the Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns and several K-View based algorithms. These K-View based algorithms included are K-ViewTemplate algorithm (K-...

Abstract: Pomegranate is a valuable fruit crop that widely cultivated in various regions. However, its production often threatened by diseases can significantly affect yield and quality. In this project, we propose method for pomegranate disease detection pesticides suggestion using the gray-level co-occurrence matrix (GLCM) algorithm. The proposed approach utilizes GLCM to extract texture feat...

This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covariance matrix, the gray level co-occurrence matrix (GLCM) based texture features, and the backscattering power (Span) combined with the H/α /A decomposition, which are projected onto a lower dimensional feature space us...