Results 111 to 120 of about 15,845 (235)
An Efficient Steganalytic Algorithm based on Contourlet with GLCM
Steganalysis is a technique to detect the hidden embedded information in the provided data. This study proposes a novel steganalytic algorithm which distinguishes between the normal and the stego image. III level contourlet is exploited in this study. Contourlet is known for its ability to capture the intrinsic geometrical structure of an image.
T.J. Benedict Jose, P. Eswaran
openaire +1 more source
Genetic algorithm optimization of adaptive multi-scale GLCM features
We introduce a new second-order method of texture analysis called Adaptive Multi-Scale Grey Level Co-occurrence Matrix (AMSGLCM), based on the well-known Grey Level Co-occurrence Matrix (GLCM) method.
Longstaff, Dennis +2 more
core +1 more source
Fabric Defect Classification Based on LBP and GLCM
Inevitably there will be various types of fabric defect exists in textile production line. In order to distinguish and classify the types of defects more efficiently and accurately, an algorithm which combines Local Binary Patterns (LBP) and Gray-level Co-occurrence Matrix (GLCM) is proposed in this paper for fabric defect classification.
Lei Zhang +2 more
openaire +2 more sources
The endoplasmic reticulum (ER) is a key structure in plant cells that helps produce and transport proteins. We discovered that different Lunapark proteins shape ER structures in distinct ways, affecting protein movement and secretion. Understanding how ER structure influences function can help improve plant‐based production of valuable compounds, such ...
Charlotte Pain +9 more
wiley +1 more source
Analisis Fitur Citra untuk Deteksi Kanker Prostat Menggunakan GLCM dan T-Test
Kanker prostat merupakan salah satu kelainan paling umum pada kelenjar prostat yang dapat menyebabkan gangguan buang air kecil hingga nyeri tulang akibat penyebaran ke tulang.
Mhd. Hanafi +2 more
doaj +1 more source
Aplikasi Image Retrieval dengan Histogram Warna dan Multi-scale GLCM
Content-based image retrieval is an image search techniques from large image database by analyzing features of the image. Image feature can be color, texture, shape, and others. This study uses color and texture features when searching image.
Hardy, Hardy +2 more
core
Ekstraksi Fitur Kupu-Kupu Menggunakan GLCM, Lacunarity, HSV, dan MLP
Extraction feature in butterflies are using GLCM, Lacunarity, and HSV. The combination of extraction feature is to improve accuration of butterflies. In this research , there are three steps for extraction.
Andika, Yudi +4 more
core +1 more source
Facial Feature Extraction Based On FPD and GLCM Algorithms
: Image mining is defined as the discovery of image patterns in a given collection of images. It is an effort that fundamentally draws upon knowledge in computer vision, image processing, data mining, machine learning, database, and artificial ...
Dr S Vijayarani, S Priyatharsini
core
GLCM texture features were calculated using search distance d = 5, reference angle θ = 0°, and window size 9 m2. Panels d through f: linear least-squares classification data for model calibration.
Joseph M. Wheaton (400702) +2 more
core +1 more source
Detection Of Glaucoma Using Glcm And Mst Segmentation
Glaucoma is a globaleye disease that leads to blindness. This is the second leading cause of vision loss.If it left untreated the patient may lose vision, and even become blind.But blindness from glaucoma can often be prevented with early treatment. Existing Scanning methods like OCT, SLP, HRT has been used for detection of glaucoma but these methods ...
C.Lekha +3 more
openaire +1 more source

