The input image is decomposed by Gabor filter and texture features were extracted using Segmentation based Fractal Texture Analysis (SFTA) and the features are classified as defect and defect free classes using AdaBoost Classifier. The proposed algorithm is tested on a set of real time samples ...
Sarcinelli-Filho, “Topographic independent component analysis based on fractal theory and morphology applied to texture segmentation,” Signal Processing, vol. 87, no. 8, pp. 1966–1977, 2007. :Coco K F,Salles E O T,Sarcinelli-Filho M.Topographic indepen-dent component analysis based on ...
A fractal dimension based technique builds the feature vector for training the signal classifier for the prediction of the different mental state of a patient. The simulation with ABC shows that 87% dimensional reduction produces better accuracy in the prediction of the different mental state of a ...
In this paper, we have demonstrated a hybrid method which uses image augmentation and a fusion of segmentation-based fractal texture analysis (SFTA) and pre-trained deep neural network (AlexNet and Inception-v3) features to classify malware images into various classes using different state-of-the-...
Hybrid malware classification method using segmentation-based fractal texture analysis and deep convolution neural network features. Appl. Sci. 2020, 10, 4966. [Google Scholar] [CrossRef] Wei, Z.; Song, H.; Chen, L.; Li, Q.; Han, G. Attention-based DenseUnet network with adversarial ...
For example, in a given region of an image, pixels with similar properties, such as grey-level, colour or texture, are grouped together [6,7]. The splitting and merging operations are region-based techniques applied to group similar regions [10,12]. Thus, the same intensity is attributed ...
The quantitative results showed that, as described in (Ergin et al., 2014), wavelet-based statistical features can successfully capture crucial textural aspects related to mitosis development and distinguish between mitotic and nonmitotic cells. 3.3.6 Fractal texture features The Daubechies wavelet ...
It was concluded that recent advancements in ischemic stroke detection have achieved 85–98% accuracy using CNNs and transformer-based models with separate imaging, clinical, and molecular data, though combined analysis remains largely underexplored. Integrating vascular imaging, clinical signs, and proteo...
texture-based feature extraction adopts several techniques to compute the texture, to name a few grey co-occurrences matrix-based computation, Laws texture computation, fractal-based models, and Gabor filter based texture extraction [15,16]. Essentially texture is the information that reveals how ...
Automatic classification for pathological prostate images based on fractal analysis. TMI. 2009; 28:1037–50. Google Scholar Chang H, Borowsky A, Spellman P, Parvin B. Classification of tumor histology via morphometric context. In: CVPR. Portland: IEEE: 2013. p. 2203–10. Google Scholar ...