Novel Algorithm for Finger Tip Blob Detection Using Image Processing
نویسندگان
چکیده
Touch screens are immensely popular in the modern world. They have reached the pinnacle of their success in mobile phones. Touch screens, along with the Android OS, have completely revolutionized the cell phone and have led to the creation of the smart-phone as we know it today. These touch screens are generally resistive or capacitive. A third type exists, which is the image processing based touch screens. The image processing touch screen has lost ground over its competitors due its large size, and have been limited to certain fields. One notable disadvantage of image processing touch screens is that its use is hindered by lighting: it is simply unusable in poor or unsuitable lighting conditions. This paper presents a solution to this problem by introducing a novel and cost effective approach to detect a fingertip blob on an image processing based touch screen under any surrounding light conditions. The setup uses basic LEDs and a normal visible light camera as opposed to the conventional use of IR cameras. The algorithm was implemented using the Java Development Kit, version 1.5 (update 22). A very high accuracy for detecting blob coordinates at any location on the screen under different lighting conditions was obtained.
منابع مشابه
Reduced-Reference Image Quality Assessment based on saliency region extraction
In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...
متن کاملUsing a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملAutomatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique
The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...
متن کاملEarly Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Images Using Image Processing Methods
Introduction: Diabetic retinopathy (DR) is the single largest cause of sight loss and blindness in the working age population of Western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. Early diagnosis of DR is critical for preventing vision loss so early detection of microaneurysms (MAs) as the first signs of DR is important. This paper addresses th...
متن کاملAdaptive Grass-Fire Blob Detection Algorithm (AGFBDA) for the Image Matrices
The blob detection methods plays the vital role in the various image processing models. The blob detection models are utilized for the localization of the visible objects in the given images in order to understand the type and size of the objects. The blob detection can be utilized for the classification, categorization and other purposes in the image processing models. In the proposed model, t...
متن کامل