A lot of techniques have been developed for the encoding of triangular meshes as this is a widely used representation for the description of surface models. Although methods for the encoding of the neighbor information, the connectivity, are near optimal, there is still room for better encodings of vertex locations, the geometry. Our geometry encoding strategy follows the predictive coding para...

Blood vessel segmentation from the retinal images is extremely important for assessing retinal abnormalities. A good amount of research has been reported on blood vessel segmentation, but significant improvement is still a necessity particularly on minor vessel segmentation. As the local contrast of blood vessels is unstable (intensity variation), especially in unhealthy retinal images, it beco...

I n this paper we present a n approach, to image segmentation in which user selected sets of examples and counter-examples supply information about the specific segmentation problem. Image segmentation is guided by a genetic algorithm which learns the appropriate subset and spatial combination of a collection of discriminating functions, associated with image features. The genetic algorithm enc...

This paper deals with merging techniques that can be used as lters or as segmentation algorithms In the rst case they are known as connected operators and in the second case they are region growing techniques This paper discusses the basic issues of a merging algorithm merging order merging criterion and region model This analysis highlights the similarity and dif ferences between a ltering too...

In this paper, an approach based on lacunarity to locate address blocks in postal envelopes is proposed. After computing the lacunarity of a postal envelope image, a non-linear transformation is applied on it. A thresholding technique is then used to generate evidences. Finally, a region growing is applied to reconstruct semantic objects like stamps, postmarks, and address blocks. Very little a...

This paper presents a technique for the segmentation of range images. It tends to be a hybrid approach that combines edge detection and region growing techniques toward accomplishing the task of segmentation. The surface coherency property of range data provided an important attribute, .;rhich enabled the improvision of extrinsic knowledge regarding the types of surface primitives existing with...

We present a mesh cutting tool to manually draw the boundary of segmentation while assisting the user with semi-automatic rotation. Based on the current endpoint of the sketch, we predict the potential subsequent position of the boundary point considering the minima rule. After obtaining the complete cutting contour, we segment the input mesh into two separate parts with a region growing algori...

Abstract: In this paper, we present a new pipeline which automatically identifies and annotates axoplasmic reticula, which are small subcellular structures present only in axons. We run our algorithm on the Kasthuri11 dataset, which was color corrected using gradient-domain techniques to adjust contrast. We use a bilateral filter to smooth out the noise in this data while preserving edges, whic...

This paper presents the region based segmentation method for ultrasound images using local statistics. In this segmentation approach the homogeneous regions depends on the image granularity features, where the interested structures with dimensions comparable to the speckle size are to be extracted. This method uses a look up table comprising of the local statistics of every pixel, which are con...

This work presents a region-growing image segmentation approach based on superpixel decomposition. From an initial contour-constrained over-segmentation of the input image, the image segmentation is achieved by iteratively merging similar superpixels into regions. This approach raises two key issues: (1) how to compute the similarity between superpixels in order to perform accurate merging and ...