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Melanoma is certainly the deadliest skin cancer. Clinicians try to detect melanoma at early stages in order to increase the successful treatment rate by using dermoscopes. We have designed a digital dermoscope that is both mobile and highly sensitive for automatic classification. We developed an accurate image processing software and a learning program that uses artificial neural network learning...
Cancer of blood-forming tissues is called Leukemia. This disease hinders the body's ability to fight infection. Leukemia can be categorized into many types. Acute Lymphoblastic Leukemia (ALL) and Acute Myeloid Leukemia (AML) are the two main types. The blood cells' growth and bone marrow are affected by AML. Collection of myeloid blasts in the bone marrow is one of the main characteristics of AML...
This research proposes the multispectral image retrieval method by using spectral feature and semantic computing which is not many studies have focused. The main contributions are to enhance the effectiveness and advantageous of global environmental analysis system and realize semantic associative search and analysis. In this work, we study multispectral image retrieval using spectral feature computed...
Car park video surveillance systems present a huge volume of data that can be beneficial for video analytics and data analysis. We present a vehicle state tracking method for long term video surveillance with the goal of obtaining trajectories and vehicle states of various car park users. However, this is a challenging task in outdoor scenarios due to non-optimal camera viewing angle compounded by...
Many researches have been conducted on video abstraction for quick viewing of video archives, however there is a lack of approach that considers abstraction as a pre-processing stage in video analysis. This paper aims to investigate the efficiency of integrating video abstraction in surveillance video indexing and retrieval framework. The basic idea is to reduce the computational complexity and cost...
A diagnosis of a stadium of Plasmodium can help physicians in managing patients with malaria. The stadium of Plasmodium is divided into three stadiums, namely trophozoite, schizont, and gametocyte. Staging is based on the morphological characteristics of each stadium, including shape, size, texture, and color. We selected 15 features using a correlation-based feature selection method with a “best...
Augmented Reality (AR) is an emerging field, which is evolving exponentially. Its concept is to coalesce the virtual world into the real world. The augmented reality intent to enhance our perception of the real world by integrating virtual objects. The existing Augmented Reality Hand gesture control systems detect hand gesture and embed the virtual object in augmented reality using markers and motion...
Easy access to high speed communication network and sharing of information via social media, has led to large amount of multimedia content seamlessly available to end user. Searching for similar images or video clips within a collection of videos is a common activity. This paper proposes a retrieval approach for similar video clip based on dense descriptor called serial walk local descriptor. The...
In recent years, monitoring of coral reef status and health are done with the assist from image processing technique. Since underwater images are always suffer from major drawbacks, research in this area is still active. In this paper, we propose to use edge based segmentation where we modify the original canny edge detector and then use the blob processing technique to extract dominant features from...
In this paper an efficient approach of fruit maturity classification based on apparent color of the specimen is implemented by the aid of fuzzy inference system (FIS). Heuristically acquired hue and its corresponding saturation and lightness are the attributes of choice, which are utilized to classify the sample into three classes; Raw, Ripe, and Overripe. The membership functions and fuzzy rules...
In general, the three main modules of color image classification systems are: color-to-grayscale image conversion, feature extraction and classification. The color-to-grayscale image conversion is the important pre-processing step which must incorporate the significant and discriminative contrast and structure information in the converted grayscale images as in the original color image. All the existing...
Security is obligatory for digital world. It requires robust and reliable security mechanisms which comprises irreplaceable identification of individual. Biometrics plays an important role in recognizing individual uniquely, furthermore iris based security is more impenetrable as compared to fingerprint based security. Also, human iris doesn't change with ageing and can be easily captured. Generic...
Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is...
In this paper the content based image retrieval system, using hybrid approach of features such as Texture and Color is presented. The color feature is extracted through Color Histogram and texture is extracted using Haar Wavelet Transformation. The combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster...
Cucumber downy mildew is a kind of disease which spreads very fast and isdangerous, in order to prevent the disease, peoplealways spray plenty of pesticides indiscriminately. Accurate assessment of the level of cucumber downy mildew is very important to the disease prevention and control. In a cucumber growing season, this paper collected the typical cucumber downy mildew leaf samples, and developed...
Human-elephant conflict is a frontline conservation issue in the world. The loss and fragmentation of elephant's habitat owing to the increased human encroachment leads to a notable conservation issue. It raises the need for a non-invasive and efficient solution for the mitigation of human-elephant conflicts. Consequently, deploying a vision based surveillance method in the real time environment can...
Nature has surrounded us with lot of plants having medicinal values. But most of the time, we don't realize the importance and benefits of the plant and we just ignore it. In other cases, though we know names of the plants with medicinal values, it becomes difficult to identify the plant even if it is naturally grown in our backyard. And hence, a system is developed which would provide a solution...
Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
Histopathological analysis of tissues has been gaining a lot of interests recently, from developing computer algorithms to assist pathologists from cell detection and counting, to tissue classification and cancer grading. With the advent of whole slide imaging, the field of digital pathology has gained enormous popularity, and is currently regarded as one of the most promising avenues of diagnostic...
In general, the three main modules of the color scene classification systems are image decolorization, feature extraction and classification. The work presented in this paper focuses on image decolorization and classification as two stages. The first stage or objective of this paper is to improve the performance of the color scene classification system using deep belief networks (DBN) and support...
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