Abstract: Various aspects of a method and system for content management of video images of anatomical regions are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in a content processing device, which is communicatively coupled to an image-capturing device. The method includes identification of one or more non-tissue regions in a video image of an anatomical region. The video image is generated by the image-capturing device. Thereafter, one or more content identifiers are determined for the identified one or more non-tissue regions. Further, each of the determined one or more content identifiers are associated with a corresponding non-tissue region that corresponds to the identified one or more non-tissue regions.

Abstract: Various aspects of a method and system for detection of surgical gauze during anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in an image-processing engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the determination of a set of pixel characteristics based on color filtering of at least a portion of a video frame. Thereafter, one or more blocks of pixels of a portion of a surgical gauze are detected in the video frame based on the set of pixel characteristics. Further, additional pixels that correspond to a remaining portion of the surgical gauze are identified based on a plurality of metrics. The surgical gauze is recognized in the video frame based on the detection of the one or more blocks of pixels and the identification of the additional pixels.

Abstract: Various aspects of a method and system to localize surgical tools during anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in an image-processing engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes determination of one or more physical characteristics of one or more surgical tools present in the one or more video frames, based on one or more color and geometric constraints. Thereafter, two-dimensional (2D) masks of the one or more surgical tools are detected, based on the one or more physical characteristics of the one or more surgical tools. Further, poses of the one or more surgical tools are estimated, when the 2D masks of the one or more surgical tools are occluded at tips and/or ends of the one or more surgical tools.

Abstract: Various aspects of a system and method for smoke detection during an anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in a surgical scene analysis engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the estimation of a partially visible region in a current video frame, based on a temporal difference between the current video frame and a previous video frame from the one or more video frames. Thereafter, one or more candidate pixels are detected in the estimated partially visible region in the current video frame. Further, a smoke region is determined in the partially visible region, based on pruning of one or more candidate pixels.

Abstract: Certain aspects of an apparatus and method for automatic ER/PR scoring of tissue samples may include for determining a cancer diagnosis score comprising identifying a positive stained nucleus in a slide image of the tissue sample, identifying a negative stained nucleus in the slide image, computing a proportion score based on number of the positive stained nucleus identified and number of the negative stained nucleus identified and determining the cancer diagnosis score based on the proportion.

Abstract: A method of improving accuracy and reliability of motion estimation is described herein. In one aspect, a 2D neighborhood of phase correlation peak is approximated with an outer-product of two 1D vectors to eliminate the sub-pixel error. In another aspect, estimation of reliability is improved. In yet another aspect, two-pass phase correlation is implemented to eliminate sub-pel motion bias.

Abstract: An image processing system, and a method of operation thereof, including: a feature selection module for determining subsets of point clouds, the subsets selected based on key points of a three-dimensional object; a feature matching module, coupled to the feature selection module, for generating matched results based on a matching transformation of the subsets; and a point registration module, coupled to the feature matching module, for refining the matched results based on a refinement transformation to optionally align different data sets of the point clouds for displaying the aligned data sets on a device, wherein the refinement transformation includes a refinement error less than a matching error of the matching transformation.

Abstract: Various aspects of a method and a system for video data processing are disclosed herein. The method includes receiving video data of a human subject. Each of a sequence of frames of the received video data is associated with a plurality of spectral components. A first peak and a second peak from a plurality of peaks corresponding to the plurality of spectral components are determined. Amplitudes of the determined first peak and the second peak exceed a first threshold value. A peak separation between the determined first peak and the determined second peak is determined. The determined peak separation is within a predetermined range. Based on the determined peak separation, a heart rate of the human subject is determined.

Abstract: An image registration system, and a method of operation of an image registration system thereof, including: an imaging unit for obtaining a pre-operation non-invasive imaging volume and for obtaining an intra-operation non-invasive imaging volume; and a processing unit including: a rigid registration module for generating a rigid registered volume based on the pre-operation non-invasive imaging volume, a region of interest module for isolating a region of interest from the intra-operation non-invasive imaging volume, a point generation module, coupled to the region of interest module, for determining feature points of the region of interest, an optimization module, coupled to the point generation module, for matching the feature points with corresponding points of the rigid registered volume for generating a matched point cloud, and an interpolation module, coupled to the optimization module, for generating a non-rigid registered volume based on the matched point cloud for display on a display interface.

Abstract: A computer assisted surgical system and method of operation thereof includes: capturing historic scan data from a three dimensional object; sampling a current surface image from the three dimensional object in a different position; automatically transforming the historical scan data to align with the current surface image for forming a transform data; and displaying, on an augmented reality display, the current surface image overlaid by the transform data with no manual intervention.

Abstract: A blood detection system, and a method of operation thereof, including: a camera for obtaining an input image frame; and a processing unit connected to the camera, the processing unit including: an image block module for extracting image blocks from the input image frame, and an automatic blood detection module, coupled to the image block module, for calculating an overall blood probability of the image blocks including: determining a red color dominance probability, determining a red color deviation probability, and determining a red color colorfulness probability.

Abstract: An image processing system and method of operation includes: a source image having source pixels; a homogeneity image module for forming a homogeneity image having homogeneity pixels each with a homogeneity value indicating the local homogeneity of source pixels of the source image; a watershed image module, coupled to the homogeneity image module, for forming a watershed image having watershed segments with a segment weight, the watershed image formed by segmenting the homogeneity image, and for merging one of the watershed segments with another of the watershed segments both having the segment weight less than or equal to a segment threshold; a contour map module, coupled to the watershed image module, for forming a segmentation contour map having boundaries of the watershed segments formed by merging the watershed segments; and a composite image module for forming a composite image with the segmentation contour map for display on a device.

Abstract: A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state.

Abstract: A system and method for effectively implementing a stroboscopic visual effect with a television device includes a strobe engine that analyzes video data to create a sequence of stroboscopic images based upon motion information from the video data. The television utilizes a display manager to present the stroboscopic images and the video data on a display device during a strobe display mode. A processor device of the television typically controls the operations of the strobe engine and the display manager to implement the stroboscopic visual effect.

Abstract: Multi-level encoded data transfer is disclosed. 2n bits may be encoded in a data signal each half clock cycle. For example, four bits may be transferred each clock cycle. Prior to data transfer, each data line may have two bits ready to be encoded. The two bits may be encoded to one of four different data states. The clock may be divided into four intervals for each half clock cycle, with each interval corresponding to one of the four data states. The two bits may be encoded into the data signal based on the interval that corresponds to the data state. As one example, the data signal could transition during the interval that corresponds to the data state for the two bits. This encoding may be repeated for two other bits for the other half of the clock cycle. Thus, QDR or some other data rate may be achieved.

Abstract: An image processing system and method of operation includes: a source image having source pixels; a homogeneity image module for forming a homogeneity image having homogeneity pixels each with a homogeneity value indicating the local homogeneity of source pixels of the source image; a watershed image module, coupled to the homogeneity image module, for forming a watershed image having watershed segments with a segment weight, the watershed image formed by segmenting the homogeneity image, and for merging one of the watershed segments with another of the watershed segments both having the segment weight less than or equal to a segment threshold; a contour map module, coupled to the watershed image module, for forming a segmentation contour map having boundaries of the watershed segments formed by merging the watershed segments; and a composite image module for forming a composite image with the segmentation contour map for display on a device.

Abstract: A method for navigating images in microscopic imaging, the method comprising reducing dimensionality of an original sequence of images of a specimen for navigation using an all-focus image and providing a user interface to a user for navigating the original sequence of images and the all-focus image.

Abstract: An image processing system, and a method of operation thereof, including: a feature selection module for determining subsets of point clouds, the subsets selected based on key points of a three-dimensional object; a feature matching module, coupled to the feature selection module, for generating matched results based on a matching transformation of the subsets; and a point registration module, coupled to the feature matching module, for refining the matched results based on a refinement transformation to optionally align different data sets of the point clouds for displaying the aligned data sets on a device, wherein the refinement transformation includes a refinement error less than a matching error of the matching transformation.

Abstract: A tool localization system and method of operation thereof including: a camera for obtaining an image frame; and a processing unit connected to the camera, the processing unit including: a classification module for detecting a surgical tool in the image frame, a motion vector module, coupled to the classification module, for modeling motion of the surgical tool based on the image frame and at least one prior image frame, a mask generation module, coupled to the motion vector module, for generating a tool mask, based on the surgical tool detected and the motion of the surgical tool, for covering the surgical tool in the image frame, and an exposure module, coupled to the mask generation module, for processing the image frame without the areas covered by the tool mask for display on a display interface.

Abstract: A computer-implemented method and apparatus for stain separation of a pathology image using stain vector analysis comprising converting an original image into an optical domain image, performing stain vector analysis on the optical domain image to obtain one or more stain vectors, deconvoluting the vectors adaptively to produce one or more separated stain images.