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The system capable of localizing and reading aloud text embedded in natural scene images can be very helpful for blind and visually impaired persons — providing information useful in everyday life, it increases their confidence and autonomy. Even though the currently available optical character recognition (OCR) programs are fast and accurate, most of them fail to recognize text embedded in natural...
This paper deals with the performance evaluation of image segmentation. The goal of this work is to show some techniques that enable the comparison of different segmentation results. We first present a visualization method that facilitates the visual evaluation of a segmentation result. Next, we focus on unsupervised evaluation criteria that do not take into account any a priori knowledge to quantify...
Machine vision is still a challenging topic and attracts researchers to carry out researches in this field. Efforts have been placed to design machine vision systems (MVS) that are inspired by human vision system (HVS). Attention is one of the important properties of HVS, with which the human can focus only on part of the scene at a time; regions with more abrupt features attract human attention more...
Common e-commerce websites rely heavily on JPEG images for product presentation. In this paper we present a new coding scheme and file format that is tailored to the presentation of single-color products. A JPEG image file can be transcoded into this new format leading to substantial reduction in file size (Average of 28%) with practically no quality degradation. We describe how we can take advantage...
The entire visualization of GastroIntestinal (GI) tract is not possible with conventional endoscopic exams. Wireless Capsule Endoscopy (WCE) is a low risk, painless, noninvasive procedure for diagnosing diseases such as bleeding, polyps, ulcers, and Crohns disease within the human digestive tract, especially the small intestine that was unreachable using the traditional endoscopic methods. However,...
Squamous cell carcinoma (SCC) of the lungs is one of the types of non-small cell lung malignancy. Non-small cell lung cancers accounts for about 80% of lung cancers, and of these, roughly 30% are SCC's, which are mostly seen in smokers. SCC is seen in the tissue that lines the air passages in the lungs. The work is based on the Segmentation and Detection of Squamous cell carcinoma of lung from sputum...
In this study we present a hybrid scheme aiming at tone mapping high dynamic range (HDR) videos into low dynamic range (LDR), to achieve the best possible way of showing HDR content on LDR displays. The proposed scheme selectively tone maps different regions of each frame such that the visually important information is preserved. Then, it applies an average-based technique to ensure there is no sudden...
In this paper, we propose a novel dehazing method for effectively enhancing complex texture regions by using entropy information. The proposed method improves a drawback of an existing method due to estimating an incorrect transmission map. The proposed method consisted of two steps. In the first step, for effectively estimating a transmission map, an entropy map is generated from YCbCr color space...
Recently, advanced driver assistance system becomes an important area for automotive industries. Especially, stereo vision-based system has been actively researched. However, in practice, the system has a difficulty in getting correct information because the images from multiple cameras may contain different exposure levels, illumination changes, and lighting geometry differences. To isolate these...
Texture classification of the textured scene images is a challenging task due to variation of textures in images. In addition, occlusion, reflection and shadows make texture classification more difficult. We propose a novel patch-based approach for texture segmentation and classification in the textured scene images. First, color and texture features are designed to extract crucial information from...
In this paper we propose an algorithm for real-time 2D-to-3D conversion. Saliency based on color histogram is used to build depth map. To eliminate instability problem of color saliency, we presented a low-complexity and low-latency scene detection method taking advantage of color histogram produced before. The experiment results show that our algorithm is able to eliminate depth flickering effectively...
Text recognition in images is an active research area which attempts to develop a computer application with the ability to automatically read the text from images. Nowadays there is a huge demand of storing the information available on paper documents in to a computer readable form for later use. One simple way to store information from these paper documents in to computer system is to first scan...
In usual clinical practice, grading of cancer tissues is often done by an expert histopathologist based on their analysis of micro-level architectural features of the cancerous tissue specimen as well as level of presence of certain protein molecules in the specimen. This process of assessment of the level of presence of protein molecules is extremely subjective due to human dependence and limitations...
Cardiovascular disease (CVD) is the leading cause of death throughout the world. Since electrocardiogram-reports (ECG) have a great CVD predicting potential, the demand for their real-time analysis is high. Although algorithms are present to perform analysis, most countries still use analogue acquisition systems that can only output a printed trace. It is necessary to extract the signal from these...
This paper mainly focuses on creating a global background model of a video sequence using the depth maps together with the RGB pictures. The first key concept is the near objects block the scenes at the back. With the aid of depth information, we can identify the closer moving objects. Secondly, we develop a recursive algorithm that iterates between the depth map and color pictures. Comparing to the...
Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this...
Automatic text detection and extraction systems for natural scene images and videos have gained wide attention due to its immense applications in various fields of information retrieval. Many algorithms have been proposed in literature which addresses the problem of text detection. The color uniformity of text characters is one of the strong features which is used in color based text localisation...
Object motion tracking has been done for videos with various methodologies. The existing systems are mainly based on single feature and motion detection as a single object by taking the movement of the feature selected. We propose a moving object tracking method that uses low-level features like centroid location of tracked object combined with the color feature. Centroid location of each moving object...
This paper presents an efficient image exploration scheme for the unshaped object using semantic modelling. The local regions of an image have been classified with respect to the frequency of occurrences. The semantic concept is evaluated using RGB histogram dissimilarity factor, overall dissimilarity factor and regional dissimilarity factor. The dissimilarities determine the local concept with accuracy...
This paper presents a novel image haze removal approach from single image. In the algorithm, the constant albedo and dark channel prior methods are combined to represent the transmission model of hazed image. And then, the quick shift segmentation approach is introduced to decompose the input image into some gray level consistent areas. Compared with traditional fixed image partition schemes, better...
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