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To tackle the problem of character segmentation for the palm leaf manuscripts, a character segmentation algorithm is proposed in this paper. The whole process of the algorithm consists of two steps, interleaving character segmentation and touching character segmentation. In the first step, the improved Viterbi algorithm and some path filtering rules are used to perform path detecting and path filtering...
The main objective of this work is to segment the medical image under various conditions and different backgrounds. Image segmentation is very useful and it improves the results of image analysis. Segmentation done manually is not an easy task also it consume a lots of time. Its accuracy percentage is also very less. So, there is a necessity of developing accurate and efficient algorithms for medical...
Serial section electron microscopy (SSEM) image stacks generated using high throughput microscopy techniques are an integral tool for investigating brain connectivity and cell morphology. FIB or 3View scanning electron microscopes easily generate gigabytes of data. In order to produce analyzable 3D dataset from the imaged volumes, efficient and reliable image segmentation is crucial. Classical manual...
Due to the very low contrast between the microorganisms and background in sewage microscopic images, few traditional segmentation algorithms are available to extract the object contours from surrounding environment completely and smoothly. In this paper, we propose a novel contour extraction method for microorganisms in sewage micro-images. Firstly, Sobel operator is utilized to calculate the image...
A new image segmentation method is proposed in this paper for improving the effect of the image segmentation. First, an original image is nonlinear mapped into a higher dimension kernel space, and the data are better separated under the kernel space comparing with that under the original image space, then, the number of categories of the image is determined by analyzing the image histogram using gauss...
Latent fingerprints play a very important role in forensic applications to recognize the criminals. The latent fingerprints still face many issues due to the large amount of distortion. The sole purpose of this article is to improve the matching accuracy of latent fingerprints which are of bad quality. In this research work, we propose Multiphase Watershed Segmentation algorithm to refine the features...
Quantitative modeling of brain vasculature is important for diagnosis of vessel pathologies as well as for surgery treatment planning. Magnetic resonance angiography (MRA) provides reliable visualization of vessel tree structure and its organization. Accuracy of vessel segmentation from MRA is an important step in model building; its accuracy influences obtained model quality. This paper presents...
Optical Coherence Tomography (OCT) is a noninvasive technique and depth-resolved imaging modality which is a prominent ophthalmic diagnostic tool. In this paper, an automated segmentation algorithm to detect few intra-retinal layers which are important for Edema detection present in Spectral Domain Optical Coherence Tomography (SDOCT) images is presented. An algorithm for accurate segmentation of...
The traditional artificial cigarette review methods are difficult to match the high-speed automatic cigarette sorting system. In this paper, a new cigarette recognition method using the uniqueness of cigarette bar codes was proposed. Firstly, a binary image filtering algorithm based on square adaptive structure element of mathematical morphology (SASEMM) was used to get several potential sub-regions,...
Image dehazing has always been a focus of wide attention in recent years with great breakthrough. However, the existed algorithms may produce noise and color distortion in the process of image restoration, especially in the sky region. In this paper, an improved dark channel prior algorithm is proposed, which detects the sky firstly and divides the image into sky region and nonsky region, and then...
We propose a cross-trees structure to perform the non-local cost aggregation for dense stereo matching. The cross-trees structure consists of a horizontal-tree and a vertical-tree. Compared to other spanning trees, the significant superiority of the cross-trees is that the trees' constructions are efficient and independent on any local or global property. Moreover, the trees are exactly unique. By...
Noise variation is an important parameter for many image denoising algorithms. This paper proposed a new two-step noise variation estimation algorithm based on image segmentation. In the first step, noisy image was smoothed and segmented by statistical region merge (SRM) algorithm. Then variation of every region was computed, and some regions were selected based on statistical rule to estimate the...
Moving shadow detection and removal are key steps for motion detection algorithm. But by far most of the traditional methods, relying solely on single information, can not eliminate shadow effectively. This paper describes a mixed approach to deal with the shadow of the foreground objects from video surveillance. Firstly, a new description of local texture operator—LMTO (Local Match Texture Operator)...
Designing a robust and efficient thresholding algorithm for far-infrared (FIR) images under various imaging conditions is one of critical technologies. The existing algorithms are difficult to deal with the images corrupted by noise, if a predefined filter is not used. However, it is difficult to define an appropriate filter beforehand because some prior knowledge about image noise is required. To...
This paper deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life-threatening because of its character in the limited space...
In this paper, we present a nonlinear anomaly detector called kernel RX-algorithm and apply it to CT images for malignant nodule detection. Malignant nodule detection is very similar to anomaly detection in military imaging applications where the RX-algorithm has been successfully applied. We modified the original RX-algorithm so that it can be applied to anomaly detection in CT images. Moreover,...
Tone mapping (TM) algorithms reproduce the high dynamic range (HDR) images on low dynamic range (LDR) display devices such as monitors or printers. In this paper, we propose a local TM algorithm, in which the input HDR is segmented using K-means algorithm and a display gamma parameter is set automatically for each segmented region. The proposed TM algorithm computes the luminance of an input that...
Since edge indicates the outline of an object and also can provides important information to separate the objects from the background or other overlapping objects, edge detection is an essential tool in image processing and computer vision. Compared with gray image, color image provides more edge information of objects. However, the current color edge detection algorithms acquired so much time to...
Microarrays are novel and dominant techniques that are being made use in the analysis of the expression level of DNA, with pharmacology, medical diagnosis, environmental engineering, and biological sciences being its current applications. Studies on microarray have shown that image processing techniques can considerably influence the precision of microarray data. A crucial issue identified in gene...
In order to segment target object from soft-PCB image, an improved OTSU algorithm is proposed by adjusting gray range of OTSU in this paper. First computing image histogram, then counting the number and value of histogram peak, getting the area and value of high light region, and obtaining the proportion of two low gray peak, finally judging the image pattern according the acquired results, if the...
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