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73 articles for “image texture”
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Research ArticleOpen accessIn the abstractClassification of Textures by Avoiding Complex PatternsV. V. Kumar, B. E. Reddy, U. S.N. Raju, A. SureshThe present research advocates a new method for texture classification based on primitive patterns. For this, an optimal set of eight simple patterns are selected based on their discrimination. The percentage of frequency of occurrences is computed for these patterns on entire texture image. Textures can be classified by using frequency of occurrences, for complex patterns also. The present research … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractFabrication of a Capacitance-Based Tactile Sensor with Biomedical ApplicationsAli Tavakoli Golpaygani, Siamak Najarian, M. Mehdi Movahedi, Goldis Darb EmamiehThe design, modeling, and testing of a flexible tactile sensor and its applications are presented. This sensor is made of polymer materials and can detect the 2D surface texture image and contact-force estimation. The sensing mechanism is based on the novel contact deflection effect of a membrane. We measure the amount of membrane deflection with measuring the change of capacitance … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,388 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental and Theoretical Analysis of a Novel Flexible Membrane Tactile SensorGoldis Darb Emamieh, Ahmad Ameri, Siamak Najarian, Ali Tavakoli GolpayganiIn this study, we report the development of a new multi tactile sensor, capable of detecting 2D surface texture image, measuring contact-force, and identifying the difference between stiffness of sensed objects. The designed tactile sensor consists of a chamber and a membrane with a mesa structure. The detecting principle is a combination of membrane deflection and piezoresistance effects. A major … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,184 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Carcass Weight and Muscle on Texture, Structure, Rheological Properties and Myofibre Characteristics of Roe DeerJoanna Żochowska-Kujawska, Kazimierz Lachowicz, Małgorzata Sobczak, Leszek GajowieckiMyofibre characteristic, texture, structure and rheological properties of selected muscles (BF, SM and L) of roe deer of different carcass weight were compared. Muscle texture and rheological properties was determined with the TPA and relaxation test, respectively, performed with a Instron 1140 device. Fibre type percentage and structural elements (muscle fibre cross sectional area and perimysium thickness) were measured in … …American Journal of Animal and Veterinary Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 7,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Modeling of a New Tactile Sensor Based on Membrane DeflectionAli Tavakoli Golpaygani, Siamak Najarian, Goldis Darb EmamiehThe designed sensor can detect 2D surface texture image, contact-force, and softness of the sensed object. It consists of a chamber for pneumatic actuation and a membrane with a mesa structure. The sensing mechanism is the contact deformation effect of a membrane. Determination of the contact force and softness of sensed object is based on the amount and variations of … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,407 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Squamous Cell Carcinoma Based On Color and Textural Features in Microscopic Images of Esophagus TissuesP. S. Hiremath, Y. Humnabad Iranna, Jagadeesh D. PujariThis paper presents a method for feature extraction using color and texture from microscopic images of esophagus tissues obtained from the abnormal regions of human esophagus detected through endoscopy. This method is used for classification of Squamous Cell Carcinoma (SCC) of esophagus, namely, poorly differentiated SCC, moderately differentiated SCC, and well differentiated SCC. Three different color spaces, namely, HSV, YCbCr, … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack DetectionVinod Kumar Pal, Pankaj MudholkarThe tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there are challenges in the industry that are caused by issues with production, which in most cases is caused by low-quality materials used or by mishandling of the products … …Journal of Computer Science, Vol. 22, Issue 8 · 12 Aug 2026 · 979 accessesView PDFCite
Review ArticleOpen accessIn the abstractFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of SVM-RBF Kernel Space Parameter to Optimize Accuracy Value of Indonesian Batik Images ClassificationAvinanta Tarigan, Dewi Agushinta, Adang Suhendra, Fikri BudimanImage retrieval using Support Vector Machine (SVM) classification verydepends on kernel function and parameter. Kernel function used by dot productsubstitution from old dimension feature to new dimension depends on imagedataset condition. In this research, parameter of Gaussian /Radial BasisFunction (RBF) kernel function is optimized using multi class non-linear SVMmethod and implemented to training and test datasets of traditional Indonesian batik … …Journal of Computer Science, Vol. 13, Issue 11 · 23 Oct 2017 · 7,530 accessesView PDFCite