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In this study, digital image processing was incorporated to eliminate the Subjectiveness of manual inspection of diseases in rice plant and accurately identify the three common diseases to Philippine's farmlands: (1) Bacterial leaf blight, (2) Brown spot, and (3) Rice blast. The image processing section was built using MATLAB functions and it comprises techniques such as image enhancement, image segmentation,...
Traffic sign detection and recognition is one of the important fields in the intelligent transportation system, and is expected to provide information on traffic signs and guide vehicles during driving. Traffic sign segmentation is the first stage in traffic sign recognition system, and segmentation results influence the recognition results. This paper presents an efficient method for traffic sign...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
The paper presents the development of content-based image retrieval system to search similar symbols from a collection of trademark images. The system consists of two stages i.e. feature extraction and similarity process. Watershed transform is employed to handle feature extraction process. Two features are derived from this stage i.e. object size and shape from each image. These features are used...
Visual saliency detection has become a challenging area in computer vision. In this paper, we propose a novel region based saliency detection model which considers background priors. The proposed method consists of two successive steps — region weighting and contrast computing. In the step of region weighting, we calculate the region weight for each region by region-level image feature and a log-linear...
Calorie measurement systems that run on smart phones allow the user to take a picture of the food and measure the number of calories automatically. In order to identify the food accurately in such systems, image segmentation, which partitions an image into different regions, plays an important role. In this paper, we present the implementation of Graph cut segmentation as a means of improving the...
Defocusing is used in bright-field image processing in order to increase image contrast. Moreover, defocused images can be used to solve the transport of intensity equation (TIE) and obtain physical light phase. Recently, it was shown that the monogenic local features of an axial intensity derivative passed through a specific low-pass filter can be used to improve cell segmentation. In this paper,...
Reliable extraction/segmentation of text lines, words and characters is one of the very important steps for development of automated systems for understanding the text in low resolution display board images. In this paper, a new approach for segmentation of text lines, words and characters from Kannada text in low resolution display board images is presented. The proposed method uses projection profile...
This paper presents a novel hand gesture recognition method based on Principal Directional Features (PDF). The image sequence is captured using a fixed mounted monocular camera to recognize dynamic gestures. Haar-like feature based cascaded classifier is used for hand area segmentation. Text based Principal Directional Features are extracted from the segmented images. Longest Common Subsequence algorithm...
Existing detection methods of abnormal movements focus on model construction and similarity identification of objects in the images. The result of detection is not satisfactory when the number of individuals in the detection area is very large. A new method is proposed to solve such difficulties by analyzing the vehicle environment and passenger groups. Firstly, human head is segmented and extracted...
Chronic hepatitis is one of the most important health threats worldwide. Although ultrasound is commonly used to diagnosis of various liver diseases, the accuracy of visual diagnosis is very low, and it also strongly depends on the experience of radiologist. The identification and classification of ultrasound images have become very desirable due to the rapid development of computer technology. However,...
Texture descriptors are a powerful tool for 2D scene features extraction. They can be computed for whole image or for regions of interests obtained from various object detection methods. In case when foreground objects mask obtained from background subtraction or optical-flow thresholding is to be used, the connected components analysis is needed first. The texture descriptor is then computed for...
In this paper, we propose a new prostate computed tomography (CT) segmentation method for image guided radiation therapy. The main contributions of our method lie in the following aspects. 1) Instead of using voxel intensity information alone, patch-based representation in the discriminative feature space with logistic sparse LASSO is used as anatomical signature to deal with low contrast problem...
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is a sensitive tool used for the detection of breast cancer. Automated segmentation of breast lesions in DCE-MR images is challenging due to the inherent low signal-to-noise ratios and high inter- patient variability. A lesion segmentation method based on supervised classification is proposed in this study. In this method, a DCE-MR image...
In this paper, we present three versions of an open source software for biometric iris recognition called OSIRIS_V2, OSIRIS_V3, OSIRIS_V4 which correspond to different implementations of J. Daugman's approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable on difficult images while OSIRIS_V2 is the fastest. So, we propose a novel strategy for iris recognition...
Object recognition is usually processed based on region segmentation algorithm. Region segmentation in the IT field is carried out by computerized processing of various input information such as brightness, shape, and pattern analysis. If the information mentioned does not make sense, however, many limitations could occur with region segmentation during computer processing. Therefore, this paper suggests...
In this paper, we propose a new graph-based approach to address the problem of cytological computer-aided diagnostic. Such approach uses our previously introduced formalism of PdEs-based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology (involving Feulgen and Papanicolaou colorations), with examples of nucleus extraction and classification.
In this paper we propose a method to obtain the region of interest in a camera-trap tiger image so that it can be used for identification of the tiger in later stage. We use a combination of texture and color features to discriminate the tiger from the background. Based on these features, a level set based active contour segmentation is performed. A series of morphological operation are then performed...
Feature redundancy and loss of local feature are central problems for image classification. Feature selection decreases the feature redundancy by choosing a subset of features and eliminating those with low prediction. The local feature representation is able to highlight objects in an image, thus, overcoming the drawbacks of global features. This paper presents a new method, called the local kernel...
Paper land maps are useful documents for collecting geographical information. Land map images provide information like place names, country or states borders etc. A land map image can be considered as a complex document image as the texts may have the myriad background consists of various intensity values and different orientations. Text orientations, fonts and sizes may not unique for all place names...
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